Evidence map›Paper›PMID 35421126›Full record

Observational studyPloS one2022

Predictors of loss to follow-up from HIV antiretroviral therapy in Namibia.

Steven Y Hong, Anna Winston, Nicholus Mutenda, Ndapewa Hamunime, Tuhin Roy, Christine Wanke, Alice M Tang, Michael R Jordan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 3 institutions in 2 countries.

Steven Y HongDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America.ORCID 0000-0002-2149-5132
Anna WinstonHospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Nicholus MutendaDirectorate of Special Programmes, Republic of Namibia Ministry of Health and Social Services, Windhoek, Namibia.
Ndapewa HamunimeDirectorate of Special Programmes, Republic of Namibia Ministry of Health and Social Services, Windhoek, Namibia.
Tuhin RoyDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America.
Christine WankeDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America.
Alice M TangDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America.
Michael R JordanDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America.
Tufts University · USMinistry of Health and Social Services · NAHospital of the University of Pennsylvania · US

Funding

Namibia ART Patient Tracing Intensification and Predictors of Loss to Follow-upK23AI097010 · NIAID · TUFTS MEDICAL CENTER · PI HONG, STEVEN YONGKEUN · 2012 to 2016
$664k
NIAID NIH HHS K23 AI097010
6 · The paper itself

Abstract

Despite progress on population-level HIV viral suppression, unknown outcomes amongst people who have initiated antiretroviral therapy (ART) in low- and middle-income countries, commonly referred to as loss to follow-up (LTFU), remains a barrier. The mean global estimate of LTFU is 20%, exceeding the World Health Organization target of <15%. Pervasive predictors associated with LTFU include younger age, low body mass index, low CD4 count, advanced HIV clinical stage and certain ART regimens. In Namibia, ART use by eligible individuals exceeds 85%, surpassing the global average. Nonetheless, LTFU remains a barrier to achieving viral suppression and requires research to elucidate context-specific factors. An observational cohort study was conducted in Namibia in 2012 by administering surveys to individuals who presented for HIV care and initiated ART for the first time. Additional data were collected from routine medical data monitoring systems. Participants classified as LTFU at 12 months were traced to confirm their status. Predictors of LTFU were analyzed using multivariable logistic regression. Of those who presented consecutively to initiate ART, 524 were identified as eligible to enroll in the study, 497 enrolled, and 474 completed the baseline questionnaire. The cohort had mean age 36 years, 39% were male, mean CD4 cell count 222 cells/mm3, 17% were WHO HIV clinical stage III-IV, and 14% started efavirenz-based regimens. Tracing participants classified as LTFU yielded a re-categorization from 27.8% (n = 132) to 14.3% (n = 68) LTFU. In the final multivariable model, factors associated with confirmed LTFU status were: younger age (OR 0.97, 95% CI 1.00-1.06, p = 0.02); male sex (OR 2.34, CI 1.34-4.06, p = 0.003); difficulty leaving work or home to attend clinic (OR 2.55, CI 1.40-4.65, p = 0.002); and baseline efavirenz-based regimen (OR 2.35, CI 1.22-4.51, p = 0.01). Interventions to reduce LTFU should therefore target young men, particularly those who report difficulty leaving work or home to attend clinic and are on an efavirenz-based regimen.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultAnti-Retroviral AgentsFemaleFollow-Up StudiesHumansLost to Follow-UpMaleNamibiaAnti-HIV AgentsAnti-Retroviral Agents

Identifiers

PMID35421126
PMCPMC9009635
OpenAlexW4223929596

What OpenQuestion holds

Textmetadata
LicenceCC0
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.