Evidence map›Paper›PMID 42690579›Full record

ArticleAIDS and behavior2026

Self-reported and Point-of-Care Biomarkers of Substance Use Measures Among Older Adults with HIV from Low- and Middle-Income Countries.

Kathryn E Lancaster, Melissa A Stockton, Judith A Hahn, Thida Chanyachukul, Ivan Marbaniang, Dhanushi Rupasinghe, Hai Thi Thanh Nguyen, Edith Kwobah, Helen Byakwaga, Aggrey Semeere and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in AIDS and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Kathryn E LancasterDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, 27157-1063, USA. klancast@wakehealth.edu.ORCID http://orcid.org/0000-0003-2389-6973
Melissa A StocktonPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Judith A HahnUniversity of California San Francisco, San Francisco, CA, USA.
Thida ChanyachukulTREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand.
Ivan MarbaniangBJ Government Medical College-JHU Clinical Research Site, Pune, Maharashtra, India.
Dhanushi RupasingheThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Hai Thi Thanh NguyenNational Hospital of Tropical Diseases, Hanoi, Vietnam.
Edith KwobahMoi Teaching and Referral Hospital, Eldoret, Kenya.
Helen ByakwagaMbarara University ISS Clinic, Mbarara, Uganda.
Aggrey SemeereResearch Department, Infectious Diseases Institute, Makerere University, Kampala, Uganda.
Suzanne GoodrichDivision of Infectious Diseases, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Patrizia CarrieriAix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Marseille, France.
Gad MurenziResearch for Development (RD Rwanda), Kigali, Rwanda.
Hugo PerazzoNational Institute of Infectious Diseases Evandro Chagas-Oswaldo Cruz Foundation (INI/FIOCRUZ), Rio de Janeiro, Brazil.
Brenda Crabtree RamírezDepartamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición, México City, Mexico.
Jessica MejíaDepartamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición, México City, Mexico.
Andreas D HaasInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Ardele MandiririNewlands Clinic, Harare, Zimbabwe.
Albert MingaNewlands Clinic, Harare, Zimbabwe.
Marie PlaisyCentre médical de Suivi des Donneurs de Sang (CMSDS), Centre National de Transfusion Sanguine (CNTS), Abidjan, Côte d'Ivoire.
Antoine JaquetUniversity of Bordeaux, Inserm, French National Research Institute for Sustainable Development (IRD), Bordeaux, France.
Angela M ParcesepeUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sentinel Research Network of the International epidemiology Databases to Evaluate AIDS

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
WADA (West Africa Database on Antiretroviral Therapy) CollaborationU01AI069919 · NIAID · UNIVERSITY OF BORDEAUX II · PI Didier Koumavi Ekouevi, Antoine Jaquet · 2006 to 2026
$29.9M
NIAID NIH HHS U01 AI069919NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

Measuring alcohol and other drug (AOD) use remains challenging in HIV care in low- and middle-income countries, where self-report and point-of-care (POC) urine biomarkers capture different time windows. Among 2,059 people with HIV aged 40 years or older across eight IeDEA clinics (2020 to 2022), we examined what self-reported AOD use (AUDIT, ASSIST) and POC urine tests (uEtG for alcohol; 5-panel drug screen) each capture. Self-report identified more use than urine testing (unhealthy alcohol 19.7% versus uEtG-positive 12.2%), consistent with its longer recall window. Higher self-reported alcohol intensity was associated with uEtG positivity in a graded pattern, more strongly among women. Urine-positive but self-report-negative results, more common among men, suggested under-reporting. Self-report and biomarkers answer different measurement questions: self-report for longer-term burden and screening, biomarkers for recent use and corroboration. Combining both, including longer-window biomarkers, can strengthen AOD measurement among older PWH in LMICs.

Indexed as

Alcohol useBiomarkersDrug useHIVSelf-report behaviors

Identifiers

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.