UMLS:C0027558

The paper discusses the use of negative binomial regression in community randomized trials, particularly when the communities are large and the events are rare. The study is motivated by the HEALing Communities Study, which aims to reduce opioid overdose fatalities. The paper shows that negative binomial regression targets the same marginal regression parameters as an over-dispersed binomial model, but the estimates may differ. The paper also provides formulas relating the negative binomial overdispersion parameter with the intra-cluster correlation coefficient, coefficient of variation, and R coefficient. The paper concludes that negative binomial regression provides a valid, practical alternative approach to the analysis of count data from community randomized trials.


UMLS:C0027558

provides a valid, practical alternative approach to


UMLS:C0033011

The study found a high prevalence of marijuana use among pregnant women being treated for opioid use disorder (OUD) and/or consuming alcohol. The prevalence of marijuana use was 43.2% in the OUD group, 52.6% in the OUD and Alcohol group, and 46.4% in the Alcohol group. The study also found that marijuana use was significantly higher in women taking buprenorphine compared to those using methadone. Younger maternal age and polysubstance use were identified as independent correlates of marijuana use. The study highlights the need for risk reduction strategies addressing marijuana use in these groups.


UMLS:C0033011


UMLS:C0032804


UMLS:C2237067


UMLS:C0679782


UMLS:C1708505

The study surveyed protocols from 54 infant and toddler neuroimaging research labs to understand preferred practices in MRI acquisition strategies, scan success rates, visit preparations, scanning protocols, accommodations for families, study design, and policies regarding incidental findings. The survey found consensus on higher success rates among newborns compared to older infants or toddlers, high rates of data loss across age groups, endorsement of multiple layers of hearing protection, and age-specific scan preparation and participant accommodation. However, there was no consensus on decisions in longitudinal study design and practices regarding incidental findings.


NCBIGene:100303464


UMLS:C0687734


UMLS:C0008096

The study investigates the development of executive function (EF), specifically inhibitory control, in children aged 4-10 years. The researchers used a child-friendly neuroimaging technique, functional near-infrared spectroscopy (fNIRS), to measure cortical activity in the prefrontal cortex (PFC). The results showed significant correlations between the behavioral measures during the fNIRS session and the standardized EF assessments. The fNIRS measures revealed a significant, age-independent effect of inhibitory control in the right PFC, and an age-dependent effect in the left orbitofrontal cortex.


UMLS:C3274768


UMLS:C5392141

The COVID-19 pandemic has significantly affected data collection for longitudinal studies in developmental sciences. The restrictions on in-person assessments have led to innovative methods to increase participant engagement, focusing on remote administration of behavioral assessment. The paper argues that these innovations should become the new standard in developmental sciences, especially for hard-to-reach populations. The paper also presents adaptations to developmental assessments and discusses data analytic approaches for dealing with missing or messy data during the pandemic. These remote approaches strengthen the ability to gain insight into developmental populations and foster pragmatic innovation.


UMLS:C4042773

Remote administration of behavioral assessment


UMLS:C3862534

Remote administration of behavioral assessment


UMLS:C4042773


UMLS:C0599519

strengthen the ability to gain insight into


UMLS:C0033011

The study investigates the coping strategies of pregnant and postpartum women during the COVID-19 pandemic and their associated psychosocial outcomes. The study identified four behavioral phenotypes of coping strategies. Those with high levels of passive coping strategies, such as increased screen time, social media use, and intake of comfort foods, were associated with elevated symptoms of depression, anxiety, and global psychological distress, as well as worsening stress and energy levels. On the other hand, those with high levels of active coping strategies, such as social support and self-care, were associated with greater resiliency. These findings could help identify women at risk for poor long-term outcomes and provide targets for interventions.


UMLS:C5445131


UMLS:C4763930

The study used a combination of accelerometry and deep immune profiling to track patient-specific physical recovery after major joint replacement surgery. The results showed that objective physical parameters derived from accelerometry data can accurately track patient-specific physical recovery profiles. Six distinct domains of physical function and sleep were identified. These patterns can be linked to individual patients' preoperative immune state. The pSTAT3 signal activity in monocytic myeloid-derived suppressor cells predicted a slower recovery.


UMLS:C1150290


UMLS:C0178808


UMLS:C0679658

The paper discusses the potential of repositioning natural products and their derivatives for drug discovery. Given the high cost and low success rate of traditional drug discovery, repositioning existing drugs for new diseases could be a more efficient and cost-effective approach. The paper reviews six natural products and their derivatives for this purpose, highlighting the opportunities and challenges in this area.


UMLS:C1566558


UMLS:C1533017

The study found that drug overdose mortality among non-Hispanic Black residents in Kentucky doubled from 2016 to 2020, reaching the rate among non-Hispanic White residents. About 80% of these drug overdose deaths involved opioids, with a decline in heroin involvement and an increase in fentanyl involvement. There was also a significant increase in psychostimulant-involved drug overdose deaths among non-Hispanic Black residents. Cocaine-involved drug overdose deaths increased among non-Hispanic Black residents but declined among non-Hispanic White residents. The rates were significantly lower among Hispanic residents. The findings highlight the need for better tailored programs and services for non-Hispanic Black residents with substance use disorder.


UMLS:C0029944


PUBCHEM.COMPOUND:3345


UMLS:C3653837


UMLS:C0033882

requires treatment and harm reduction services


FB:FBgn0004007

The paper discusses the preliminary findings of a study that aims to extract semantics from reference data generated by the United States Census Bureau. The complexity of the data, which contains thousands of variables, often discourages researchers from working directly with it. The study proposes the use of natural language processing to extract the semantics of the census-based reference data and map the census variables to known ontologies. This process simplifies the large volume of variables into more manageable sets that can be organized by meaning and semantic type.


UMLS:C0687734


FB:FBgn0004007

semantics of census-based reference data

propose to extract using natural language processing


UMLS:C0234482


UMLS:C0541586

The study presents a framework for studying prelinguistic child voice from 3 to 24 months using diarization algorithms. The system includes a feature extractor, an embedding generator, and a classifier. The study also explores the effect of changing different components of the system and the loss function. A multiple-instance learning technique is also introduced for pre-training parameters on larger datasets. The best system achieved a 43.8% Diarization Error Rate (DER) on the test dataset, which is better than the 55.4% DER achieved by LENA software. The use of a convolutional feature extractor instead of logmel features significantly improved the performance of neural diarization.


UMLS:C1522427


UMLS:C0180806


UMLS:C5432853

The paper presents a new deep learning model for temporal regression, called deep relation learning for regression, which considers the relationships between different images. The model uses four non-linear relations: "cumulative relation," "relative relation," "maximal relation" and "minimal relation." The model is divided into two parts: feature extraction and relation regression. The model was tested on a dataset of 6,049 subjects aged 0-97 years for brain age estimation. The results showed that the model achieved a mean absolute error (MAE) of 2.38 years, significantly lower than eight other state-of-the-art algorithms.


UMLS:C5432853


NCBIGene:31596

The study demonstrates the feasibility of non-invasive recording of somatosensory-evoked potentials (SEP) in pigs using a transcranial electroencephalography (EEG) cap. The pigs were sedated with dexmedetomidine, midazolam, and butorphanol, which allowed for sedation instead of anesthesia without compromising data quality. All animals had adequate SEP recordings and their vital signs remained within clinically acceptable ranges. There were no undesirable recovery incidents.


NCBIGene:31596


UMLS:C0079159


NCBIGene:31596

Heart rate, Respiratory rate, Hemoglobin oxygen saturation, Body temperature

maintained within clinically acceptable ranges


UMLS:C0181736

The paper discusses the development of a mobile low-field MRI scanner that can be used outside of traditional hospital and imaging center settings. The scanner, housed in a modified cargo van, was tested using phantom scans and in vivo T2-weighted neuroimaging data. The results showed no significant differences in geometric distortion, signal-to-noise ratio, or tissue segmentation outcomes when compared to a similar static system in a laboratory setting. This mobile MRI scanner could potentially be used to image patients who have mobility challenges, live far from imaging centers, or are otherwise unable to travel to an imaging center or hospital.


UMLS:C5561707


UMLS:C0917711


UMLS:C4277709


UMLS:C0181736


UMLS:C0589194

Perceived communication effectiveness (PCE)

The study presents a psychometrically sound instrument for measuring perceived communication effectiveness (PCE) in implementation strategies. The PCE scale was developed through expert panel discussions, focus groups, and survey-based evaluations. The scale demonstrated strong correlations with measures of implementation outcomes such as acceptability, appropriateness, and feasibility. It also showed significant associations with key training outcomes like perceived staff use of evidence-based practices, agency climate, and value concordance. The PCE scale can be a useful tool for assessing audience receptivity and the potential impact of communication-based implementation activities and products.


UMLS:C1588205


UMLS:C0578063

The study found that individuals with pain who are prescribed opioids and have elevated depressive symptoms are more likely to misuse prescription opioids, have a history of overdose, report poorer general health, and experience moderate to severe pain. They are also more likely to have moderate to high substance use risk scores for various substances including prescription opioids, street opioids, cannabis, cocaine, tobacco, methamphetamine, prescription stimulants, and sedatives.


UMLS:C0578063


UMLS:C5561740

The study presents a super-resolution approach to reconstruct high-resolution isotropic T2-weighted images from a series of low-resolution anisotropic images acquired in orthogonal orientations. This method is time-efficient and provides high-resolution T2-weighted images for anatomical visualization with simultaneous quantitative T2 imaging for increased sensitivity to tissue microstructure and chemical composition. The approach was tested on phantom and in vivo human brain imaging, and the calculated T2 values were in line with previously reported brain T2 values at different magnetic field strengths.


UMLS:C1738553


UMLS:C4744828


HP:0005756

The study reveals that neonates, or newborns, have long-range selective functional connections in their brains, specifically in the default mode, fronto-parietal, and dorsal attention networks. This suggests that an adult-like pattern of functional brain networks is evident in neonates. The study used a large sample of neonates and found that the results were more accurate when network-detection algorithms were tuned to these long-range connections and when using surface-based registration. The findings provide a foundation for studies of typical and atypical brain development.


UMLS:C3178878


UMLS:C0029966

Adult-like pattern of functional brain networks


UMLS:C3897187


UMLS:C2607943

Studies of typical and atypical brain development


UMLS:C2169879

The study aimed to integrate routine opioid use disorder (OUD) screening into primary care settings across 10 clinics. Despite the goal of implementing population-based OUD screening, several barriers were identified, including challenges in identifying who to screen, complexity of the screening tool, staff discomfort, workflow barriers, staffing shortages, discouragement from low screening yield, and stigma. However, promising strategies were also identified, such as using a more universal screening approach, health information technology, audit and feedback, and repeated staff trainings.


UMLS:C0203028


UMLS:C1834374

The study reveals that sleep disruption during adolescence in mice, but not in adulthood, leads to long-lasting impairment in social novelty preference. This is linked to changes in the activation and release patterns of dopaminergic neurons in the ventral tegmental area (VTA). The study also found that improving sleep or rectifying VTA activity during adolescence in Shank3-mutant mice can improve adult social deficits.


UMLS:C1834374


UMLS:C0547110

Improving sleep or rectifying VTA activity


UMLS:C1315011

The study discusses the IronTract Challenge, which aims to improve the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography. The challenge uses a unique dataset from macaque brains that have undergone both tracer injections and ex vivo dMRI. The findings suggest that the Human Connectome Project (HCP) scheme can achieve similar accuracy as a more time-consuming, Cartesian-grid scheme when analysis methods are carefully optimized. The study also highlights the importance of simple pre- and post-processing strategies in improving the accuracy and robustness of many tractography methods. The most challenging fiber configurations for tractography are those that go beyond crossing, such as fanning and branching.


UMLS:C2107853


UMLS:C1516590


UMLS:C4068146

can improve the accuracy and robustness of


UMLS:C0449832


UMLS:C0018724

The study explores the attitudes towards COVID-19 vaccination among healthcare workers in the US. It found a high level of vaccine hesitancy among healthcare workers, with 23% of correctional healthcare workers and 17% of general healthcare workers refusing the vaccine. Factors associated with vaccine acceptance include current season flu vaccination, relying on employer for COVID-19 information, and living in the Midwest. The study suggests that low health literacy and employer mistrust may be potential mechanisms of vaccine hesitancy among healthcare workers.


UMLS:C5690778


UMLS:C0557545


UMLS:C0042200


UMLS:C1550413


UMLS:C2184137


UMLS:C4534521


UMLS:C4061916


UMLS:C1659451

The study investigates the plasticity of the frontoparietal system in humans, specifically the relationship between the ventral tegmental area (VTA) resting-state functional connectivity, myelin map values, and learning. The study found that stronger baseline connectivity between VTA and lateral prefrontal cortex predicted greater improvements in accuracy. Lower myelin map values predicted improvements in response times, but not accuracy. This suggests that proxy markers of neural plasticity can predict learning in humans.


UMLS:C0026969


UMLS:C0027880


UMLS:C0178572

The study examined the transition of treatment courts to virtual services due to the COVID-19 pandemic and its impact on client perceptions. An online survey was conducted, which received 1356 responses from clients across 121 courts. The results showed that clients felt more comfortable in virtual court sessions but felt the judge was less familiar with their case. From a treatment perspective, clients felt more connected and benefited more from in-person services, but felt less anxious in virtual treatment groups. The findings suggest a nuanced preference for some in-person connections even as services transition to virtual platforms.


UMLS:C0008942


UMLS:C0008942

felt less familiar during virtual court sessions


MONDO:0100096

Summary not provided or could not be parsed.


UMLS:C2987623


MONDO:0100096


MONDO:0100096

The study found that certain groups, including those with criminal justice or opioid misuse histories, reported poorer mental health during the COVID-19 pandemic. Interestingly, those who took protective behaviors like wearing masks also reported poorer mental health compared to those who deemed such behaviors unnecessary. Conversely, those who took at least one risk behavior, such as eating in a restaurant, reported better mental health.


UMLS:C0086072

People with criminal justice or opioid misuse histories


UMLS:C5545326


UMLS:C0810881

People who took at least one risk behavior


UMLS:C0746432

The study investigates the impact of maternal stress and cortisol levels during pregnancy on fetal brain development, specifically the hippocampal connectivity. The research involved 77 pregnant women who reported their stress levels, depressive symptoms, and anxiety symptoms, provided salivary cortisol samples, and underwent fetal resting-state functional MRI scans. The results showed that higher prenatal self-reported distress and higher maternal cortisol levels corresponded to different changes in fetal hippocampal functional connectivity. The study also found that the impact of maternal distress on fetal hippocampal connectivity was moderated by fetal sex.


UMLS:C0443476


UMLS:C5707708

Hippocampus and right posterior parietal association cortex


UMLS:C0443476

Hippocampus, dorsal anterior cingulate cortex, and left medial prefrontal cortex


UMLS:C0473485


UMLS:C0035168

The study discusses the ethical complexities involved in researching opioid use in pregnancy. It emphasizes the importance of such research in understanding the impact of the opioid epidemic on a generation of children. The paper suggests the need for embedded ethicists to fill the gaps in ethics oversight for such research and calls for further guidance to balance integration and independence.


UMLS:C5684302


UMLS:C0086267


UMLS:C0041703

The paper discusses the low and unequal rates of breastfeeding in the United States, which is considered a public health crisis. The current practices to support lactation have shown limited progress. Therefore, the paper suggests that achieving national breastfeeding goals requires innovative ideas in thinking, technology, and care. The paper also emphasizes the crucial role of perinatal caregivers in lactation support.


UMLS:C0242205


UMLS:C4711654


UMLS:C3694086


UMLS:C0701826


UMLS:C1720898

The paper discusses the integration of developmental perspectives into the Research Domain Criteria (RDoC) framework. It emphasizes the importance of considering developmental processes, principles, and environmental and contextual processes at different ages and developmental stages. The paper identifies gaps and shortcomings in the current conceptualization of the RDoC framework, assumptions, and constructs. It suggests that examining the causal transactions between individual differences in RDoC dimensions and normative maturational tasks, supportive and hindering contexts, and the potential moderation of associations by developmental history can provide valuable information about the development, manifestation, and course of psychopathology. This approach could help identify preventive-intervention targets, impactful intervention settings, and environmental and contextual supports.


UMLS:C3825224

Individual differences in RDoC dimensions


UMLS:C1135956


UMLS:C1135956

not significantly indirectly associated with


UMLS:C1135956

significantly indirectly associated with


MONDO:0100096

The study aimed to document the changes in perinatal care across the USA due to COVID-19 and its implications on maternal mental health. Data was collected from 1918 postpartum and 3868 pregnant individuals from April to December 2020. The study found that 78% of pregnant participants and 63% of postpartum participants reported at least one change to their perinatal care between March and August 2020. The changes varied over time and across different locations. The separation of infants and mothers immediately after birth and the cancellation of prenatal visits were associated with worsened depression and anxiety symptoms in mothers. The study suggests that disruptions to perinatal care may exacerbate mental health concerns.


UMLS:C0242963


UMLS:C0039474

The study investigates the inhibited temperament (IT), a behavioral trait that is characterized by the tendency to avoid unfamiliar situations and people. IT is a moderately heritable trait that can be observed from infancy and can be measured in multiple species. In humans, IT can be quantified from the first year of life through direct behavioral observations or reports by caregivers or teachers.


UMLS:C0039474


UMLS:C0021270

The study focuses on the classification of infant and parent vocalizations, particularly emotional vocalizations, to understand how infants learn to regulate emotions. The vocalizations were manually labeled and classified using Linear discriminant analysis (LDA), a two-layer fully-connected network (FCN), and a convolutional neural network with self-attention (CNSA). The study also tested three web data augmentation and transfer learning methods. The results showed that the neural networks significantly outperformed LDA in terms of classification accuracy, weighted F1, and macro F1. The study also identified the most important acoustic features for each binary type discrimination.


UMLS:C3494465


UMLS:C3494465

Convolutional neural network with self-attention (CNSA)


UMLS:C1135962


UMLS:C0557792

The paper introduces a new open-source method, OWLET, for analyzing infant eye-tracking data collected on personal devices at home. This method uses algorithms from computer vision, machine learning, and ecological psychology to estimate infants' point of gaze from smartphone and webcam recordings. The method was validated in a large sample of 7-month-old infants using a visual attention task. The results showed that the method reliably estimates infants' point-of-gaze across various contexts and exhibits excellent external validity with parental-report measures of attention. This method addresses the need for greater diversity and accessibility in human studies and may support the ecological validity of behavioral experiments.


UMLS:C2921731


MESH:C050228

The study investigates the impact of different dosing strategies of buprenorphine (BUP-NX) and methadone on the risk of relapse in opioid use disorder treatment over 12 weeks. Four strategies were examined: increasing dose based on individual opioid use, increasing dose weekly until a minimum dose is reached, a hybrid strategy of increasing dose weekly until a minimum and then based on opioid use, and keeping the dose constant after the first 2 weeks. The hybrid strategy resulted in the lowest risk of relapse for BUP-NX. For methadone, all strategies except keeping the dose constant performed similarly. The study suggests that doses should be targeted towards minimum thresholds and, in the case of BUP-NX, raised when patients continue to use opioids.


PUBCHEM.COMPOUND:4095


UMLS:C1283067


UMLS:C4284678

The study evaluated two new metrics for measuring spinal stenosis, namely the ratio between the dural sac and disc cross-sectional areas (DDRCA) and the dural sac and disc anterior-posterior diameters (DDRDIA). These were compared with established metrics of the dural sac. The study found that these ratio-based metrics were accurate and robust to anatomical and demographic variability compared to the dural sac's quantitative metrics. They also correlated better with symptomatology and surgical outcomes.


UMLS:C4284678


UMLS:C0522247

The study found that a sense of purpose in life can act as a buffer against the effects of depressive symptoms and loneliness on cognitive decline in older adults. This was particularly true for Black/African-American participants. The study suggests that programs promoting a sense of purpose could support healthy cognitive aging, especially among Black older adults and those experiencing greater social isolation.


UMLS:C0852545


NCIT:C34785


UMLS:C0522247


UMLS:C5441680

has stronger buffering effects on cognitive decline


PUBCHEM.COMPOUND:133451

The study investigates the impact of early stressful experiences on the neural responses of children aged 4 to 11 years to emotional and social stimuli. The researchers used fMRI scans while the children watched a short film with positive and negative emotional events and parent-child interactions. The study found that higher socioeconomic status (SES) was associated with greater activity in the medial orbitofrontal cortex during parent-child interaction movie events. Negative parenting behaviors were linked with less activation of the ventral tegmental area and cerebellum during positive emotional events. Stressful life events and negative parenting behaviors were associated with less activation of the amygdala during positive emotional events.


UMLS:C0085092


UMLS:C0478604

Stressful life events and Negative parenting behaviors


UMLS:C0231335

The study investigates the development of functional brain networks in children aged 4 to 10 years. The findings suggest that as children age, there is an increase in the segregation of brain networks, particularly those involved in attention and abstract cognition. Contrary to traditional theories, both sensory and association areas of the brain seem to develop early. More mature brain network patterns were associated with better visuospatial reasoning abilities, indicating that as the brain architecture becomes more specialized, children's reasoning abilities improve.


EFO:0000246


UMLS:C3896579


UMLS:C0233333

More mature patterns of brain network architecture


UMLS:C0086996

The study investigates the relationship between socioeconomic status (SES), perceived quality of medical care during COVID-19 illness, and vaccine hesitancy. The study found that perceptions of higher quality care received during COVID-19 illness predicted decreased COVID-19 vaccine hesitancy. Furthermore, perceived care quality during COVID-19 illness mediated the relationship between socioeconomic risk and COVID-19 vaccine hesitancy. This suggests that improving patient-reported care quality during illness may increase vaccine uptake among socioeconomically vulnerable populations.


UMLS:C0418667

Perceived quality of medical care during COVID-19 illness


UMLS:C0598938

The study demonstrates the feasibility of using deep learning for automatic segmentation of major anatomical structures in lumbar spine MRI. Convolutional neural networks were trained to demarcate vertebral bodies, intervertebral disc, and paraspinous muscles from MRIs. The computer-generated segmentations were highly similar to human-generated ones, and were used to compute quantitative image-based morphological metrics and subject-specific musculoskeletal models of tissue loading. This method can be used quickly, efficiently, and at scale without interrupting routine clinical care.


UMLS:C0598938


UMLS:C0887831

Morphological metrics and musculoskeletal models


UMLS:C0179312

The paper discusses the use of biomechanics as a tool for phenotyping in the context of chronic low back pain (LBP). The NIH Back Pain Consortium (BACPAC) has developed various biomechanics measurement and phenotyping tools. The paper reviews how biomechanical outcomes can differentiate between individuals with and without LBP, and among different severity levels of LBP. It also discusses how these outcomes align with functional improvements in LBP. The paper presents a range of technologies developed and used within BACPAC for measuring biomechanical performance. These technologies and the data they collect will be crucial for longitudinal and cross-sectional studies conducted in BACPAC. By linking these measures with other biopsychosocial data collected within BACPAC, the potential to use biomechanics as a tool for understanding the mechanisms of LBP, phenotyping unique LBP subgroups, and matching these individuals with appropriate treatment paradigms is increased.


UMLS:C5399651


UMLS:C0179312


UMLS:C4715669

The study explores the perspectives of community coalitions on collaborating with hospitals to address the opioid crisis. Data was collected from interviews conducted as part of the HEALing Communities Study. Three main themes emerged: the approaches of coalitions to collaborate with hospitals, the barriers to such collaborations, and the opportunities for sustainable relationships. The findings highlight the value that coalitions place on hospital collaborations and suggest mechanisms that could support ongoing partnerships.


UMLS:C4715669


UMLS:C0019994


UMLS:C0086944


UMLS:C0030705

The study aimed to understand patient perspectives on discussing opioid risks with primary care clinicians (PCCs). The study found that patients generally perceive discussing opioid risks with PCCs as acceptable. However, the approach to these discussions should be tailored to the patient's specific situation and needs. Six themes emerged from the study, including the need for different approaches in discussing opioid risks based on the patient's relationship with opioids, the patient's own perceptions about PCCs and opioids, the role of these perceptions in guiding the discussions, the appropriateness of primary care as a setting for these discussions, limited patient awareness of overdose rescue medications, and the acceptability of handouts if they are perceived to come from the PCC's assessment.


UMLS:C0033137


UMLS:C0549193

The study presents a tool called PhoCUS (Photometry Coupled focused Ultrasound System) that can monitor the effects of focused ultrasound (FUS) on specific cell types in the deep brain. This tool was used to identify a parameter set that selectively increases the activity of parvalbumin interneurons while suppressing excitatory neurons in the hippocampus. This resulted in a net inhibitory effect localized to the hippocampus, which was confirmed through whole brain metabolic imaging. The inhibitory selective parameters achieved significant spike suppression in the kainate model of chronic temporal lobe epilepsy, suggesting potential for future noninvasive therapies.


UMLS:C0549193


UMLS:C0879595

Kainate model of chronic temporal lobe epilepsy


UMLS:C0183115

The study demonstrates the feasibility of remote neuroimaging and cognitive data collection using a low-field MRI "scan van" and an online assessment of paired-associate learning (PAL). The study involved 67 individuals aged 18-93 years, who were imaged at or near their homes. The results showed expected white and gray matter volume trends with age and significant associations between PAL performance and volumes of hippocampus, amygdala, caudate, and thalamus. High-quality data were acquired in 93% of individuals, and at-home scanning was preferred by all individuals with prior MRI at a hospital or research setting. This approach has important implications for engaging traditionally under-represented communities in neuroimaging research.


UMLS:C0150267


EFO:0000246


UMLS:C0561770

Hippocampus, Amygdala, Caudate, and Thalamus volumes


UMLS:C4042874

The Biobehavioral Working Group of BACPAC evaluated various domains related to chronic low back pain and recommended specific assessment tools and procedures to standardize biobehavioral data collection. They used references from the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials, the Minimum Data Set from the NIH Research Task Force on Standards for Chronic Low Back Pain, the Patient-Reported Outcomes Measurement Information System, and NeuroQOL. They identified five domains for inclusion: Pain Characteristics and Qualities; Pain-Related Psychosocial/Behavioral Factors; General Psychosocial Factors; Lifestyle Choices; and Social Determinants of Health/Social Factors. They also identified best practices for required and optional Quantitative Sensory Testing of psychophysical pain processing for use in BACPAC projects.


UMLS:C4042874


UMLS:C3702222


UMLS:C3646502

Summary not provided or could not be parsed.


UMLS:C0036938


UMLS:C0242270

Trustworthiness, compassion, nonjudgmental attitude


UMLS:C0679740


UMLS:C5392818

The paper presents a new model called the Genetically Informed Neurobiology of Addiction (GINA) that integrates genomic findings with the current understanding of the neurobiology of addiction. The study highlights that addictions are heritable and dynamically develop over a person's lifespan. It also discusses how substance-induced changes in neural circuitry can promote addiction progression. The paper further discusses the results of genome-wide association studies that have begun to characterize the polygenic architecture that supports addiction liability. It reveals that genetic loci associated with risk can be divided into those associated with a general broad-spectrum liability to addiction and those associated with drug-specific addiction risk.


UMLS:C2350277


UMLS:C0678933


UMLS:C2985782

Genetically Informed Neurobiology of Addiction (GINA)

integrates genomic findings with the current understanding of the neurobiology of


UMLS:C1822500

Medications for Opioid Use Disorder (MOUD)

The study explores how jails in Massachusetts adapted their services to treat opioid use disorder (OUD) during the COVID-19 pandemic. The jails were among the first to provide medications for opioid use disorder (MOUD) to their populations. The pandemic necessitated changes in MOUD regulations, dosing protocols, and the establishment of telehealth services. Despite these adaptations, COVID-19 increased health and social needs among the jail populations, reduced the availability of community-based healthcare, and introduced new factors that could undermine recovery. The staff wished to sustain innovations such as telehealth, smaller therapeutic groups, and a public health approach to OUD treatment as the pandemic recedes.


MONDO:0100096


UMLS:C1508776


UMLS:C3826018


UMLS:C5555262

The Biospecimen Collection and Processing Working Group of the NIH HEAL Initiative BACPAC Research Program has been working on identifying molecular biomarkers related to chronic low back pain (cLBP). They have collaborated with the New York University Grossman School of Medicine, Center for Biospecimen Research and Development to standardize the collection and analysis of biospecimens. The biospecimens collected include saliva, blood, urine, stool, and spine tissue. The data derived from these biospecimens, including genomics, epigenetics, proteomics, transcriptomics, and microbiomics, will contribute to the phenotyping of cLBP and guide future precision medicine treatment efforts.


UMLS:C5555262


UMLS:C2347026


NCBITaxon:1369087


MONDO:0100096

The study found that the COVID-19 pandemic significantly impacted the treatment of opioid use disorder (OUD) in carceral facilities and community treatment programs (CTPs). Half of the carceral sites increased the number of persons initiating medication for opioid use disorder (MOUD) from April-September 2020, while a third decreased the number. Most CTPs reported a decrease in the number of new admissions during the same period, with two programs stopping or pausing MOUD programs due to COVID-19. Telemedicine use increased in all carceral sites and CTPs that were already using it before the pandemic. Despite these changes, the majority of sites experienced challenges providing community support post-release, including referrals to housing, employment, and transportation services.


UMLS:C0018918


UMLS:C3162247


UMLS:C3162247

Carceral sites and community treatment programs


UBERON:0001769

The paper discusses the process and lessons learned from the stakeholder engagement process used by the Innovations in Recovery through Infrastructure Support (IRIS) initiative. IRIS developed a network of clinical providers, peer recovery workers, academics, and other behavioral health leaders to address opioid recovery research. The process was informed by community-based participatory research practices and principles aimed at creating equitable partnerships. The lessons learned include the need to reshape the relationship between research and the community, the importance of humility, accountability, and patience, and the need to compensate partners financially for their time.


UMLS:C0680453


UMLS:C0679731


UMLS:C1510747


UMLS:C1287503


UMLS:C0026350

The Back Pain Consortium (BACPAC) Research Program is working to better understand chronic low back pain (cLBP) for improved diagnosis and treatment. The Theoretical Model Working Group within BACPAC has developed a taxonomy for risk and prognostic factors (RPFs) related to cLBP through a three-stage process involving expert opinion and literature review. The majority of RPFs had little strength-of-evidence confidence, but seven factors had substantial confidence for either a positive association with cLBP or no association.


UMLS:C1514474


UMLS:C2219857


UMLS:C0006560


UMLS:C0342302


UMLS:C0150035


UMLS:C0021753

Serum interleukin 1-beta / interleukin 6


UMLS:C0224142


UMLS:C3702222


UMLS:C3882148

Recurrent UNet deep learning architecture

The study proposes a region of interest-specific postprocessing method for accelerated acquisitions in MRI T2 mapping sequences. This method uses a recurrent UNet deep learning architecture to provide T2 maps in knee cartilage, hip cartilage, and lumbar spine intervertebral discs. The method optimizes for cartilage and intervertebral disc performance with a multi-component loss function that heavily penalizes errors in these regions. The results showed quantification errors in knee and hip cartilage were under 10% and 9% respectively, and in intervertebral discs, the errors were under 12%. The method outperformed state-of-the-art models, retaining smooth textures for most R and sharper ones through moderate R.


UMLS:C1518800


UMLS:C0969625


UMLS:C0683268

The study used functional magnetic resonance imaging (fMRI) to examine the relationship between fetal behavior and brain development. The research found that fetal motor activity decreases with gestational age, possibly due to reduced space. There was also a negative correlation between movement and coactivations within the left parietotemporal network. Furthermore, coactivations between the supplementary motor area (SMA) and posterior brain regions were associated with postnatal motor function at 7 months.


UMLS:C0680409

Coactivations within the left parietotemporal network


UMLS:C3554658

Coactivations between the SMA and posterior brain regions


UMLS:C0695661

The paper discusses the Back Pain Consortium (BACPAC) Research Program, initiated by the National Institutes of Health (NIH) as part of the Helping to End Addiction Long-TermSM (HEAL) initiative. The program aims to address the challenges in diagnosing and treating chronic low back pain (cLBP), which has led to an over-reliance on opioid pain medications and consequently, an increase in opioid use disorder and related deaths. The BACPAC program, comprising 14 funded entities, seeks to understand, diagnose, and treat chronic pain better, focusing on the multifaceted issues involving biological, psychological, and social components that contribute to back pain.


UMLS:C3166052


UMLS:C0027468

Helping to End Addiction Long-TermSM (HEAL) initiative


UMLS:C2372074

Helping to End Addiction Long-TermSM (HEAL) initiative

NIH Back Pain Consortium (BACPAC) Research Program


UMLS:C1588205

The study followed 325 young adults, who were exposed to cocaine and other drugs in the womb, from birth to 21 years. The study found that those exposed to prenatal cocaine (PCE) had lower IQ scores and high school completion rates, and were slightly more likely to have been on probation than those not exposed (NCE). However, those PCE individuals who were placed in non-kinship foster/adoptive care had better verbal skills, similar high school graduation rates to NCE individuals, lower lead levels, and more stimulating home environments than those in birth/kinship care. The study suggests that while some cognitive deficits in PCE individuals may be biologically based, some functional outcomes can be improved through environmental interventions.


UMLS:C1588205


UMLS:C4715481

Cocaine, Heroin, Prescription opioids, Cannabis

The study aimed to identify and compare patterns of polysubstance use and their associations with relapse to regular opioid use among 2637 participants in three large opioid use disorder (OUD) treatment trials. The study found that specific combinations of polysubstance use and time course (high baseline use and rapid decrease of use prior to initiation) predict a worse relapse outcome. Individuals who co-used cocaine, heroin, prescription opioids, and cannabis had a higher risk for relapse. Higher risk of relapse was also observed in individuals who presented with high baseline prescription opioid or heroin use, although use decreased in both cases prior to treatment initiation. The study suggests that interventions tailored to these individuals with specific polysubstance use patterns prior to treatment initiation may increase the effectiveness of relapse prevention.


UMLS:C4715481


UMLS:C0841855


NCBIGene:45135065

The study aims to identify the most effective treatments for chronic low back pain (cLBP) by conducting a randomized controlled trial with 400 cLBP patients. The patients will first undergo a web-based pain self-management program, and those who report no or minimal improvement will be randomized to receive mindfulness-based stress reduction, physical therapy and exercise, acupressure self-management, or duloxetine. After 8 weeks, patients who remain symptomatic will be re-randomized to a different treatment. The study will also investigate whether currently available measures can predict differential responsiveness to the treatments and identify new experimental measures that predict differential responsiveness.


NCBIGene:45135065


UMLS:C0687734


UMLS:C0683984

The paper discusses the ethical and cultural considerations of biospecimen collection among American Indian and Alaskan Native (AIAN) communities for the Healthy Brain and Child Development (HBCD) study. It highlights the vulnerabilities of AIAN communities, including historical trauma, poverty, lack of healthcare access, and environmental hazards. The paper recommends authentic partnership development, beneficence to the community, culturally respectful research design, meaningful consent to support enrollment and retention, and culturally appropriate data management for biospecimen collection/biobanking with AIAN communities in national studies.


UMLS:C2347027


UMLS:C2347027

American Indian and Alaskan Native (AIAN) communities


UMLS:C1519798

The University of Pittsburgh Mechanistic Research Center, as part of the Back Pain Consortium (BACPAC), is conducting a prospective, observational cohort study to phenotype chronic low back pain using biological, biomechanical, and behavioral domains. The study will collect data from 1,000 participants over 12 months, with follow-ups to assess low back pain status and response to treatments. The data analysis will include patient-reported outcomes, social determinants of health, sensory testing, physical activity, omics from blood, saliva, and spine tissue, and physical examination. The goal is to categorize participants into groups and identify variables that differentiate patients, which will help in designing personalized treatment approaches in future studies.


UMLS:C3649263

Biological, biomechanical, and behavioral domains


UMLS:C5392847

Patient-reported outcomes, social determinants of health, sensory testing, physical activity, omics from blood, saliva, and spine tissue, and physical examination


UMLS:C0556033


UMLS:C0815179

contribute to future studies to assist in designing


UMLS:C0030705

The study presents the protocol for SYNNAPTIC (SYNergizing Negative Affect & Pain Treatment In Chronic pain), a randomized comparative-effectiveness study of antidepressants, fear-avoidance rehabilitation, or their combination in 300 patients with chronic low back pain (CLBP) with high negative affect (NA). The study includes an adaptive design of re-randomization after 4 months for nonresponders. The study hypothesizes that combination therapy of antidepressants plus fear-avoidance rehabilitation will be more effective than each treatment alone.


UMLS:C0030705


UMLS:C1521750

Combination therapy of antidepressants plus fear-avoidance rehabilitation


UMLS:C0032961

The study investigates the association between external environmental factors and opioid use disorder (OUD) diagnosed during pregnancy. The data was obtained from a statewide database in Florida, including 255,228 pregnancies between 2012 and 2016. The study found that low food access, high walkability, and high vacant land in under-resourced neighborhoods are associated with the diagnosis of OUD during pregnancy.


UMLS:C5688235


UMLS:C4505447


UMLS:C5566634


UMLS:C0683935

The Back Pain Consortium (BACPAC) Research Program aims to develop an integrated model of chronic low back pain using combined data from translational research and clinical trials. To facilitate this, the consortium has established harmonized data elements and standards for both tabular and non-tabular data. A BACPAC Data Portal was developed to facilitate research collaboration across the consortium. A modified data standard was developed to harmonize data structures and facilitate integration of various types of data. The BACPAC harmonization efforts and data standards serve as an innovative model for data integration that could be used as a framework for other consortia with multiple, decentralized research programs.


UMLS:C3204328

was developed to facilitate research collaboration


UMLS:C0683935

Clinical Data Interchange Standards Consortium Study Data Tabulation Model

used to develop a modified data standard


UMLS:C0242481


UMLS:C4724961

The study aimed to reduce stigma towards people with opioid use disorder (OUD) among primary care clinicians (PCCs) through an online training program. The training included patient narratives and was compared to a control group without patient narratives. The study found no significant difference in stigma, intention to get waivered, or intention to prescribe buprenorphine between the intervention and control groups. However, PCCs who reported greater stigma also reported lower intentions to treat people with OUD, suggesting that stigma acts as a barrier to care. The study concluded that more robust interventions may be needed to reduce stigma among PCCs.


MESH:C488259


UMLS:C5545199


MESH:C488259

have no significant difference in intention to prescribe


UMLS:C0086944

The Helping End Addictions Long Term (HEALing) Communities Study (HCS) aims to reduce overdose deaths in 67 communities in Kentucky, Massachusetts, New York, and Ohio by implementing evidence-based practices (EBPs). The strategies are organized under three categories: Overdose Education and Naloxone Distribution (OEND), Medication Treatment for Opioid Use Disorder (MOUD), and Safer Prescribing and Dispensing Practices (SPDP). The study found that the selection of strategies exceeded the minimum requirements across all communities, with OEND strategies being the most selected. There were no significant differences in strategy selection between communities with higher or lower opioid-involved overdose deaths or between urban and rural settings.


UMLS:C0086944


UMLS:C0086944

Overdose Education and Naloxone Distribution (OEND)


UMLS:C0086944

Medication Treatment for Opioid Use Disorder (MOUD)


UMLS:C0086944

Safer Prescribing and Dispensing Practices (SPDP)


UMLS:C4715999

The study investigates the biomechanical and perceptual effects of a back exosuit on individuals with low back pain (LBP) during bending and lifting tasks. The results showed that the back exosuit reduced peak back extensor moments by 9% and muscle amplitudes by 16% when lifting. Participants also reported lower task effort, back discomfort, and concern about bending and lifting with an exosuit compared to without. The study suggests that back exosuits might be a potential therapeutic aid to augment physical therapy, exercises, or daily activities for individuals with LBP.


UMLS:C0183687


UMLS:C3649263


UMLS:C0183687

Physical therapy, exercises, or daily activities


UMLS:C4306038

The paper discusses the development and application of a wearable nanocomposite sensor system, the SPINE Sense System, for motion phenotyping in chronic low back pain (cLBP) patients. The system captures lumbar spinal kinematics, which are then used to identify movement-based phenotypes and analyze correlations between spinal kinematics and patient-reported outcomes. The aim is to enhance understanding of the relationship between spinal movement patterns and patient metrics, which could help identify optimal treatment paradigms for cLBP.


UMLS:C1836685


UMLS:C0423081


UMLS:C4306038


UMLS:C0027468

The National Institutes of Health (NIH) HEAL Initiative is working to make data more accessible and reusable in the field of pain and opioid-use disorder research. This is being achieved through the standardization of common data elements (CDE) for clinical research. The process of selection, processing, harmonization, and design constraints of CDE across a pain and opioid use disorder clinical trials network is described. The network alignment allowed for the incorporation of newer data standards across the clinical trials. The standardization process will support robust secondary data analyses and could help inform insurance companies or government organizations about coverage determinations. The development of the HEAL CDE program supports connecting isolated studies and solutions to each other, but the practical aspects may be challenging for some studies to implement.


UMLS:C3826456


UMLS:C5778514


UMLS:C0457949

The study used imaging biomarkers to distinguish degenerative changes associated with chronic low back pain (cLBP) from normal aging. The study found that the mean T1ρ relaxation time in the nucleus pulposus (NP-T1ρ) was lower in cLBP patients than in controls. The differences were most significant at the L5-S1 spinal level, representing biochemical deterioration typically observed over a 9-12 year period. The study also found that the age-dependence of disc degeneration was stronger in controls than in cLBP patients, suggesting that aging effects on the biochemical composition of the L5-S1 disc may involve a relatively uniform set of factors from which many cLBP patients deviate.


UMLS:C0678212


UMLS:C0001811


UMLS:C3879406

The study evaluates the reliability of a wearable motion system, based on Inertial Measurement Unit (IMU) sensors, for assessing low back function. The system was tested by three novice raters on 20 participants over three days. The results showed moderate to excellent reliability across all kinematic parameters, with velocity measures showing higher reliabilities. The study concludes that the IMU-based wearable motion system is a valid and reliable tool for objectively assessing low back function.


UMLS:C3875827


UMLS:C1290147

Lumbar spine-specific kinematic parameters


UMLS:C1316330


UBERON:0000955

The paper reviews the current state of computational psychiatry, specifically the use of neuroimaging data for brain-based subtyping to better inform diagnosis and treatment plans. The authors found a significant amount of methodological exploration and development of new methods for brain-based subtyping. However, they also found a lack of rigorous validation approaches and a disconnect between methodological advancements and clinical goals. The authors propose steps to address these issues and conclude that the discovery of biologically grounded subtypes could significantly advance treatment development in psychiatry.


UMLS:C0597010


UMLS:C0025662


UMLS:C1510611


UMLS:C4535964

Peer recovery specialist-delivered behavioral activation intervention

Summary not provided or could not be parsed.


UMLS:C1321146


UMLS:C5778753


UMLS:C0745504

The paper discusses the development of a budget impact tool to estimate the costs of implementing and sustaining medication for opioid use disorder (MOUD) programs in detention facilities. The tool categorizes resources/costs as fixed, time-dependent, and variable. The example MOUD model includes all three FDA-approved medications, with methadone and buprenorphine provided by vendors, and naltrexone by the jail/prison facility. The estimated fixed/sustainment costs are $2919 per patient over 1 year, and the annual sustainment costs are $2885 per patient. The tool is expected to be useful for stakeholders interested in identifying the resources and costs associated with alternative MOUD delivery models.


UMLS:C3872980


UMLS:C5432853


PUBCHEM.COMPOUND:5360515

The study investigates the risk of overdose in patients undergoing treatment with medication for opioid use disorder (MOUD). The data was collected from three large clinical trials and analyzed using survival analysis with time-dependent Cox proportional hazard models. The study found that by week 24, 39 participants had experienced at least one overdose event. The frequency of overdose events was highest among patients assigned to naltrexone, followed by methadone and buprenorphine. The study also found that patients who failed to initiate or discontinue medication and those who reported benzodiazepine use at baseline had a significantly higher risk of experiencing an overdose event.


UMLS:C4324621

The study analyzed public attitudes towards opioid use disorder (OUD) and policy beliefs in the US, identifying three distinct groups: "High Stigma/High Punitive Policy", "High Stigma/Mixed Public Health and Punitive Policy", and "Low Stigma/High Public Health Policy". It was found that individuals with higher education levels were less likely to be in the "High Stigma/High Punitive Policy" group. The study suggests that interventions should be targeted towards the "High Stigma/Mixed Public Health and Punitive Policy" group, and that broader interventions could reduce OUD stigma among all groups.


UMLS:C0013642


UMLS:C0841855

High Stigma/Mixed Public Health and Punitive Policy group


UMLS:C5432853

The study evaluates a deep learning model for automated classification of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine MRI. The model was trained on T2-weighted axial MRI studies of the lumbar spine. The model was successful in segmenting the dural sac and intervertebral disk, and localizing facet and foramen. The model also achieved high scores in multi-class grading of central canal stenosis and binary classification of neural foraminal stenosis and facet arthropathy. The study concludes that deep learning systems can be effective and interpretable for automated evaluation of lumbar spine MRI.


UMLS:C0548611

Cognitive behavioral therapy for chronic pain (CBT-CP)

The RESOLVE trial is a large-scale, 3-arm randomized control trial designed to compare the clinical and cost-effectiveness of remote cognitive behavioral therapy for chronic pain (CBT-CP) to usual care. The trial is being conducted in four large integrated healthcare systems in Minnesota, Georgia, Oregon, and Washington state. The study compares a professionally delivered telephonic/video CBT-CP program and an online CBT-CP-based program (painTRAINER) to usual care augmented by a written guide for chronic pain management. The primary outcome is a significant reduction in pain severity, with secondary outcomes including quality of life measures and patient global impression of change. The trial aims to provide a unique opportunity to evaluate and compare the effectiveness of two relatively low-cost and scalable modalities for providing CBT-CP-based treatments to persons with high-impact chronic pain, including those residing in rural and medically underserved areas.


UMLS:C0430801


UMLS:C0548611


UMLS:C5545253

The study used a nationally representative sample to understand the role of medical mistrust in COVID-19 vaccine hesitancy. Five categories of trust were identified: high trust, trust in own doctor, high distrust, undecided, and no opinion. The study found that those who trust their own doctors are 20% less likely to plan to get vaccinated, and those with high distrust are 24% less likely to plan to get vaccinated. The study suggests that efforts to combat vaccine hesitancy should focus on building trust in medical providers and medical research.


UMLS:C1301938


UMLS:C0680244


UMLS:C5544507


UMLS:C3695191

Resting-state functional connectivity (RSFC)

The study introduces the polyneuro risk score (PNRS) framework, a method that applies multivariate techniques to resting-state functional connectivity (RSFC) data. The researchers used the Adolescent Brain Cognitive Development® cohort, divided into two datasets, to test the framework's ability to capture brain-behavior relationships across three cognitive scores. The results showed that the PNRS framework could identify globally distributed, rather than localized, patterns of predictive connections, with explained variance ranging from 1.0 % to 21.4 %. The study suggests that larger samples are needed to identify the specific connections contributing to complex outcomes and that the PNRS framework could be used to identify neurologically distinct subtypes of neurodevelopmental disorders.


UMLS:C0021270

Task-based functional magnetic resonance imaging (fMRI)

The paper reviews the role of infant task-based functional magnetic resonance imaging (fMRI) in understanding the developmental neurobiology of psychiatric disorders. It discusses how fMRI, which measures brain activity in response to specific stimuli, can help identify when and where different neural computations occur in the infant brain. The paper also discusses how variations in these neural circuits during infancy can indicate risk for psychiatric disorders. The study suggests that fMRI could potentially be used for early treatment or prevention of psychiatric problems.


UMLS:C5554795

Task-based functional magnetic resonance imaging (fMRI)


UMLS:C0443158


UMLS:C0814033


UMLS:C5554795

potential utility for early treatment or prevention


UMLS:C0200974

The study evaluates the use of fast acquisitions combined with deep-learning reconstruction for lumbar spine MRI. The results showed that fast images without deep-learning reconstruction were inferior to standard images. However, deep-learning reconstruction improved the image quality. The study also found that deep-learning reconstructed fast images with 50% and 75% noise reduction factors had comparable disc heights and vertebral body volumes to standard images. This suggests that deep-learning-reconstructed fast-acquisition images have the potential to provide noninferior image quality and comparable quantitative assessment to standard clinical images.


UMLS:C0553946


UMLS:C4704761


UMLS:C1522384

The study investigates sex differences in functional connectivity in the brain during the first two years of life. Using resting-state fMRI and heatmap analysis, the researchers found that the brain areas showing the most significant sex differences were age-specific across infancy, with two temporal regions demonstrating consistent differences. These differences in functional connectivity were significantly associated with subsequent behavioral scores of language, executive function, and intelligence. The findings provide insights into the effects of sex on dynamic neurodevelopmental trajectories during infancy.


UMLS:C3896579


UMLS:C1522384


UMLS:C0026737

The study investigates the effectiveness of multi-omics information in enhancing the discovery of novel genes in genome-wide association studies (GWAS) for brain-related traits. The results show that multi-omics data does not reliably increase novel gene discovery in less-powered GWAS, with a high rate of false-positive associations. Machine learning predictions slightly improved the identification of novel genes, but only for well-powered early GWAS of highly heritable traits. The study concludes that increasing the sample size is necessary for the discovery of novel genes and loci.


UMLS:C2350277


UMLS:C0376284

marginally increased the identification of


UMLS:C0242618


UMLS:C0871167

The study explores the feasibility of training clinics to collect performance data and initiate quality improvement (QI) alongside their participation in a Project ECHO virtual collaborative for buprenorphine providers. The project was conducted in New Hampshire, where opioid-related overdose fatalities are high. Out of 18 clinics participating in Project ECHO, five joined the training project, all of which met the criteria for engagement. The results suggest that training clinics to monitor their performance and base QI initiatives on data has potential to impact clinical best practice. However, there were several barriers to data collection, including lack of staff time and difficulty standardizing documentation.


UMLS:C0458631


UMLS:C0086027

The study aimed to identify the frequency and timing of touchpoints that occurred prior to a fatal overdose in order to find potential intervention points. The study found that nearly two-thirds of the adult cohort who died from an overdose had visited an emergency department, making it the most common touchpoint. However, prison release had the highest touchpoint rate, with about 1 in every 100 individuals dying from a drug overdose within 12 months of release. The study suggests that linking administrative data to vital records can help identify where resources should be allocated to reduce fatal overdoses.


UMLS:C0476640


UMLS:C4065104


UMLS:C0038586

The paper discusses the stigma and discrimination faced by parents with substance use disorders and their children. It highlights the need for person-centered language to improve treatment outcomes and reduce stigma. The paper emphasizes the importance of using non-stigmatizing terminology when referring to children of parents with substance use disorders and the need to center the voices and preferences of those with lived experience to bring about meaningful change and effective resource allocation.


UMLS:C3824668

Children of parents with substance use disorders


UMLS:C4042893