ArticleDrug and alcohol dependence2014
Data compatibility in the addiction sciences: an examination of measure commonality.
Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use.Molecular psychiatry · 2024Pooled it
- An Algorithm for Creating Virtual Controls Using Integrated and Harmonized Longitudinal Data.Evaluation & the health professions · 2018Trial
- Enhancing data compatibility in an evolving landscape: Medical cannabis and polysubstance use protocols in the PhenX Toolkit.Drug and alcohol dependence · 2026Article
- How much is enough? Assessing 30- versus 60-day Timeline Followback stability in youth alcohol use patterns.Alcohol, clinical & experimental research · 2025Article
- Advancing research on strategies to reduce drug use and overdose-related harms: a community informed approach to establishing common data elements.Harm reduction journal · 2025Article
- The Youth Risk Index: psychometrics, predicting the initiation of early adolescent substance use, and the breadth of liability detected.Frontiers in child and adolescent psychiatry · 2025Article
- Evidence for sex differences in the impact of cytochrome P450 genotypes on early subjective effects of cannabis.Addictive behaviors · 2024Article
- Adolescent-onset cannabis use and parenting young children: an investigation of differential effectiveness of a digital parenting intervention.Frontiers in child and adolescent psychiatry · 2024Article
- Advancing Biomarkers for Treatment of Smoking and Nicotine Dependence: An Overview.Addiction neuroscience · 2023Article
- Evaluating longitudinal relationships between parental monitoring and substance use in a multi-year, intensive longitudinal study of 670 adolescent twins.Frontiers in psychiatry · 2023Article
- Identifying Datasets for Cross-Study Analysis in dbGaP using PhenX.Scientific data · 2022Article
- Demographic and mental health assessments in the adolescent brain and cognitive development study: Updates and age-related trajectories.Developmental cognitive neuroscience · 2021Article
- Harmonizing altered measures in integrative data analysis: A methods analogue study.Behavior research methods · 2021Article
- Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits.Nature communications · 2020Article
- A Roadmap for Integrating Neuroscience Into Addiction Treatment: A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine.Frontiers in psychiatry · 2019Review
- Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods.Developmental cognitive neuroscience · 2018Review
- Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description.Developmental cognitive neuroscience · 2018Review
- Analyzing Real-World Use of Research Common Data Elements.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- dACC response to presentation of negative feedback predicts stimulant dependence diagnosis and stimulant use severity.NeuroImage. Clinical · 2018Article
- Standard measures for sickle cell disease research: the PhenX Toolkit sickle cell disease collections.Blood advances · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 8 institutions in 1 country.
Funding
Abstract
The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.