Evidence map›Paper›PMID 29701832›Full record

ArticleAmerican journal of epidemiology2018

Measurement of Current Substance Use in a Cohort of HIV-Infected Persons in Continuity HIV Care, 2007-2015.

Catherine R Lesko, Alexander P Keil, Richard D Moore, Geetanjali Chander, Anthony T Fojo, Bryan Lau

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. HIV Infection and Long COVID: A RECOVER Program, Electronic Health Record-Based Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  3. Observational
  4. Article
  5. Article
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  8. Article
  9. Article
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  11. Article
  12. Neuroimaging the Neuropathogenesis of HIV.Current HIV/AIDS reports · 2021
    Review
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  14. Article
  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Catherine R LeskoDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Alexander P KeilDepartment of Epidemiology, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina.
Richard D MooreDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Geetanjali ChanderDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Anthony T FojoDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Bryan LauDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Johns Hopkins University · USUniversity of North Carolina at Chapel Hill · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
3/4 Alcohol Research Consortium in HIV - Epidemiological Research Arm (ARCH-ERA)U01AA020793 · NIAAA · UNIVERSITY OF WASHINGTON · PI CRANE, HEIDI M., LAU, BRYAN · 2011 to 2020
$5.8M
1/4 Alcohol Research Consortium in HIV-Administrative Core (ARCH-AC)U24AA020801 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CHANDER, GEETANJALI, MCCAUL, MARY E · 2011 to 2021
$3.5M
Lung and HIV Analytical Data Coordinating Center (LHAD-CC)U01HL121812 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI LAU, BRYAN · 2013 to 2017
$3.4M
NHLBI NIH HHS U01 HL121812NIAAA NIH HHS U01 AA020793NIAAA NIH HHS U24 AA020801NIAID NIH HHS P30 AI094189NIDA NIH HHS U01 DA036935
6 · The paper itself

Abstract

Accurate, routine measurement of recent illicit substance use is challenging. The Johns Hopkins Human Immunodeficiency Virus Clinical Cohort (Baltimore, Maryland) collects 2 imperfect but routine measurements of recent substance use: medical record review and self-interview. We used Bayesian latent class modeling to estimate sensitivity and specificity of each measurement as well as prevalence of substance use among 2,064 patients engaged in care during 2007-2015. Sensitivity of medical record review was higher than sensitivity of self-interview for cocaine and heroin use; posterior estimates ranged from 44% to 76% for cocaine use and from 39% to 67% for heroin use, depending on model assumptions and priors. In contrast, sensitivity of self-interview was higher than sensitivity of medical record review for any alcohol use, hazardous alcohol use, and cigarette smoking. Posterior estimates of sensitivity of self-interview were generally above 80%, 85%, and 87% for each substance, respectively. Specificity was high for all measurements. From one model, we estimated prevalence of substance use in the cohort to be 12.5% for cocaine, 9.3% for heroin, 48.5% for alcohol, 21.4% for hazardous alcohol, and 55.4% for cigarettes. Prevalence estimates from other models were generally comparable. Measurement error of substance use is nontrivial and should be accounted for in subsequent analyses.

Indexed as

Health Risk BehaviorsAdultAlcohol DrinkingBaltimoreBayes TheoremCocaineCohort StudiesFemaleHeroinHIV InfectionsHumansLatent Class AnalysisMaleMedical RecordsMiddle AgedSensitivity and SpecificityCocaineHeroin

Identifiers

PMID29701832
PMCPMC6118067
OpenAlexW2800391668

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.