Evidence map›Paper›PMID 26424542›Full record

Observational studyThe lancet. HIV2015

Estimation of mortality among HIV-infected people on antiretroviral treatment in East Africa: a sampling based approach in an observational, multisite, cohort study.

Elvin H Geng, Thomas A Odeny, Rita E Lyamuya, Alice Nakiwogga-Muwanga, Lameck Diero, Mwebesa Bwana, Winnie Muyindike, Paula Braitstein, Geoffrey R Somi, Andrew Kambugu and 6 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The lancet. HIV, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
8.3field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Outcomes of Patients Lost to Follow-up in African Antiretroviral Therapy Programs: Individual Patient Data Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  3. Outcomes of HIV-positive patients lost to follow-up in African treatment programmes.Tropical medicine & international health : TM & IH · 2017
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  9. Causes of death in people living with human immunodeficiency virus in Türkiye: a multicentre retrospective study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Elvin H GengDivision of HIV/AIDS at San Francisco General Hospital in the Department of Medicine, University of California, San Francisco, CA, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium. Electronic address: genge@php.ucsf.edu.
Thomas A OdenyKenya Medical Research Institute and the Family AIDS Care and Education Services Program, Kisumu, Kenya; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Rita E LyamuyaNational AIDS Control Program, Dar Es Salaam, Tanzania; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Alice Nakiwogga-MuwangaInfectious Diseases Institute, Kampala, Uganda; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Lameck DieroCollege of Health Sciences, School of Medicine, Department of Medicine, Moi University, Eldoret, Kenya; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Mwebesa BwanaMbarara University of Science and Technology, Mbarara, Uganda; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Winnie MuyindikeMbarara University of Science and Technology, Mbarara, Uganda; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Paula BraitsteinCollege of Health Sciences, School of Medicine, Department of Medicine, Moi University, Eldoret, Kenya; Department of Medicine, School of Medicine, Indiana University School of Public Health, Indiana University, Indianapolis, IN, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Geoffrey R SomiNational AIDS Control Program, Dar Es Salaam, Tanzania; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Andrew KambuguInfectious Diseases Institute, Kampala, Uganda; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Elizabeth A BukusiKenya Medical Research Institute and the Family AIDS Care and Education Services Program, Kisumu, Kenya; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Megan WengerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Kara K Wools-KaloustianDepartment of Medicine, School of Medicine, Indiana University School of Public Health, Indiana University, Indianapolis, IN, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
David V GliddenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Constantin T YiannoutsosDepartment of Biostatistics, Indiana University School of Public Health, Indiana University, Indianapolis, IN, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Jeffrey N MartinDivision of HIV/AIDS at San Francisco General Hospital in the Department of Medicine, University of California, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA; East Africa International Epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium.
Indiana University IndianapolisInfectious Diseases Institute · UGKenya Medical Research Institute · KEMbarara University of Science and Technology · UGMoi University · KESan Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
North American AIDS Cohorts on Collaboration and Design (NAACCORD)U01AI069918 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Keri Nicole Althoff, RICHARD Douglas MOORE · 2006 to 2026
$65.2M
East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Statistical Designs and Methods for Double-Sampling for HIV/AIDSR01AI102710 · NIAID · JOHNS HOPKINS UNIVERSITY · PI FRANGAKIS, CONSTANTINE E · 2013 to 2016
$1.6M
Early Mortality in HIV Infected Patients Starting Antiretroviral Therapy in AfricK23AI084544 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GENG, ELVIN H. · 2009 to 2013
$621k
NIAID NIH HHS K23 AI084544NIAID NIH HHS K23AI084544NIAID NIH HHS P30 AI027763NIAID NIH HHS P30AI027763NIAID NIH HHS R01 AI102710NIAID NIH HHS U01 AI069911NIAID NIH HHS U01 AI069918NIAID NIH HHS U01AI069918PEPFAR
6 · The paper itself

Abstract

backgroundMortality in HIV-infected people after initiation of antiretroviral treatment (ART) in resource-limited settings is an important measure of the effectiveness and comparative effectiveness of the global public health response. Substantial loss to follow-up precludes accurate accounting of deaths and limits our understanding of effectiveness. We aimed to provide a better understanding of mortality at scale and, by extension, the effectiveness and comparative effectiveness of public health ART treatment in east Africa.

methodsIn 14 clinics in five settings in Kenya, Uganda, and Tanzania, we intensively traced a sample of patients randomly selected using a random number generator, who were infected with HIV and on ART and who were lost to follow-up (>90 days late for last scheduled visit). We incorporated the vital status outcomes for these patients into analyses of the entire clinic population through probability-weighted survival analyses.

findingsWe followed 34 277 adults on ART from Mbarara and Kampala in Uganda, Eldoret, and Kisumu in Kenya, and Morogoro in Tanzania. The median age was 35 years (IQR 30-42), 11 628 (34%) were men, and median CD4 count count before therapy was 154 cells per μL (IQR 70-234). 5780 patients (17%) were lost to follow-up, 991 (17%) were selected for tracing between June 10, 2011, and Aug 27, 2012, and vital status was ascertained for 860 (87%). With incorporation of outcomes from the patients lost to follow-up, estimated 3 year mortality increased from 3·9% (95% CI 3·6-4·2) to 12·5% (11·8-13·3). The sample-corrected, unadjusted 3 year mortality across settings was lowest in Mbarara (7·2%) and highest in Morogoro (23·6%). After adjustment for age, sex, CD4 count before therapy, and WHO stage, the sample-corrected hazard ratio comparing the settings with highest and lowest mortalities was 2·2 (95% CI 1·5-3·4) and the risk difference for death at 3 years was 11% (95% CI 5·0-17·7).

interpretationA sampling-based approach is widely feasible and important to an understanding of mortality after initiation of ART. After adjustment for measured biological drivers, mortality differs substantially across settings despite delivery of a similar clinical package of treatment. Implementation research to understand the systems, community, and patients' behaviours driving these differences is urgently needed.

fundingThe US National Institutes of Health and President's Emergency Fund for AIDS Relief.

Indexed as

AdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCohort StudiesData CollectionFemaleHIV InfectionsHumansKenyaMaleSampling StudiesTanzaniaUgandaUnited StatesYoung AdultAnti-HIV Agents

Identifiers

PMID26424542
PMCPMC4480204
OpenAlexW1999199403

What OpenQuestion holds

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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.