Evidence map›Paper›PMID 38061201›Full record

ArticleDrug and alcohol dependence2024

Evaluating the agreement between different substance use recall periods in multiple HIV cohorts.

Xiaodan Tang, Benjamin D Schalet, Patrick Janulis, Jeanne C Keruly, Richard D Moore, M-J Milloy, Kora DeBeck, Kanna Hayashi, Marjan Javanbakht, Soyeon Kim and 3 more

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Xiaodan TangDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Electronic address: xiaodan.tang@northwestern.edu.
Benjamin D SchaletDepartment of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Patrick JanulisDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago IL, USA.
Jeanne C KerulyDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Richard D MooreDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
M-J MilloyDepartment of Medicine, University of British Columbia, Vancouver, Canada; British Columbia Centre on Substance Use, Vancouver, Canada.
Kora DeBeckBritish Columbia Centre on Substance Use, Vancouver, Canada; School of Public Policy, Simon Fraser University, Vancouver Canada.
Kanna HayashiBritish Columbia Centre on Substance Use, Vancouver, Canada; Faculty of Health Sciences, Simon Fraser University, Vancouver Canada.
Marjan JavanbakhtDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.
Soyeon KimFrontier Science Foundation, Boston, MA, USA.
Sue SiminskiFrontier Science Foundation, Amherst, NY, USA.
Steven ShoptawDepartment of Family Medicine, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Pamina M GorbachDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
MSM and Substances Cohort at UCLA Linking Infections Noting Effects (MASCULINE) U01DA036267 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SHOPTAW, STEVEN J · 2013 to 2024
$20.5M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Vancouver Drug Users Study: The Impacts of Evolving Drug Use Patterns on HIV/AIDSU01DA038886 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI DEBECK, KORA, HAYASHI, KANNA · 2015 to 2024
$12.1M
Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO) Second Bridge Funding SupplementU24DA044554 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SIMINSKI, SUZANNE M. · 2017 to 2022
$6.8M
Impacts of universal access to HIV/AIDS care among HIV+ injection drug usersU01DA021525 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI MILLOY, M-J · 2017 to 2024
$4.3M
NIDA NIH HHS U01 DA021525NIDA NIH HHS U01 DA036267NIDA NIH HHS U01 DA036935NIDA NIH HHS U01 DA038886NIDA NIH HHS U24 DA044554NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

backgroundThis study aims to evaluate the agreement in substance use on both binary and ordinal scales between 3-month and 6-month recall periods with samples from different communities, demographic backgrounds, and HIV status.

methodsWe administered the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) to 799 participants from three different North American cohorts focused on substance use and HIV. We conducted a within-person agreement analysis by calculating the agreement levels and Kappa statistic between data collected using the 3-month recall ASSIST and 6-month custom substance use surveys as well as different terminology for each substance in multiple cohorts.

resultsFor all drugs studied, the agreement on the binary use or ordinal frequency of use metrics showed a high agreement level between 80.4% and 97.9% and an adequate adjusted kappa value between 0.61 and 0.96, suggesting substantial agreement. According to the agreement criteria we proposed, substance use data collected using different recall periods and with variation in drug names can be harmonized across cohorts.

conclusionsThis study is the first to evaluate the feasibility of data harmonization of substance use by demonstrating high level of agreement between different recall periods in different cohorts. The results can inform data harmonization efforts in consortia where data are collected from cohorts using different questions and recall periods.

Indexed as

HIV InfectionsSubstance-Related DisordersHumansSmokingSurveys and QuestionnairesTobacco SmokingData harmonizationHIV/AIDSMSMRecall periodSubstance use

Identifiers

PMID38061201
PMCPMC10872532

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.