Evidence map›Paper›PMID 31800405›Full record

ArticleAIDS (London, England)2019

Global variations in mortality in adults after initiating antiretroviral treatment: an updated analysis of the International epidemiology Databases to Evaluate AIDS cohort collaboration.

Leigh F Johnson, Nanina Anderegg, Elizabeth Zaniewski, Jeffrey W Eaton, Peter F Rebeiro, Gabriela Carriquiry, Denis Nash, Marcel Yotebieng, Didier K Ekouevi, Charles B Holmes and 8 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
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  8. Predictors of All-Cause Mortality Among People With Human Immunodeficiency Virus (HIV) in a Prospective Cohort Study in East Africa and Nigeria.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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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

18 authors.

Leigh F JohnsonaCentre for Infectious Disease Epidemiology and Research, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa bInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland cDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK dDepartment of Medicine eDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA fInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru gInstitute for Implementation Science in Population Health hDepartment of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, New York iDivision of Epidemiology, College of Public Health, Ohio State University, Columbus, Ohio, USA jDépartement de Santé Publique, Faculté des Sciences de la Santé, Université de Lomé, Lomé, Togo kInstitut de Santé Publique, Epidémiologie et Développement (ISPED), Université de Bordeaux & Centre INSERM U1219 - Bordeaux Population Health, Bordeaux, France lCenter for Global Health and Quality, Georgetown University, Washington, District of Columbia mJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA nDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea oKirby Institute, University of New South Wales, Sydney, New South Wales, Australia pDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA qTREAT Asia, amfAR - The Foundation for AIDS Research, Bangkok, Thailand.
Nanina Anderegg
Elizabeth Zaniewski
Jeffrey W Eaton
Peter F Rebeiro
Gabriela Carriquiry
Denis Nash
Marcel Yotebieng
Didier K Ekouevi
Charles B Holmes
Jun Y Choi
Awachana Jiamsakul
Giorgos Bakoyannis
Keri N Althoff
Annette H Sohn
Constantin Yiannoutsos
Matthias Egger
International epidemiology Databases to Evaluate AIDS (IeDEA) Collaboration

Funding

Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Latesha Ellen Elopre · 1988 to 2026
$84.1M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Studies of Ocular Complications of AIDS - Coordinating CenterU10EY008057 · NEI · JOHNS HOPKINS UNIVERSITY · PI VAN NATTA, MARK L · 1988 to 2012
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
CIHR CBR-86906CIHR CBR-94036CIHR HCP-97105CIHR TGF-96118Intramural NIH HHS Z01 CP010121Intramural NIH HHS Z01 CP010176Medical Research Council MR/R015600/1NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000083NCATS NIH HHS UL1 TR000454NCI NIH HHS N01 CP001004NCI NIH HHS N02CP55504NCI NIH HHS R01 CA165937NCRR NIH HHS M01 RR000052NCRR NIH HHS UL1 RR024131NEI NIH HHS K23 EY013707NEI NIH HHS U10 EY008052NEI NIH HHS U10 EY008057NEI NIH HHS U10 EY008067NIAAA NIH HHS R01 AA016893NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U24 AA020794NIAID NIH HHS F31 AI124794NIAID NIH HHS K01 AI093197NIAID NIH HHS K01 AI131895NIAID NIH HHS K24 AI065298NIAID NIH HHS K24 AI118591NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI036219NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI094189NIAID NIH HHS P30 AI110527NIAID NIH HHS R24 AI067039NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI037613NIAID NIH HHS U01 AI037984NIAID NIH HHS U01 AI038855NIAID NIH HHS U01 AI038858NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI068634NIAID NIH HHS U01 AI068636NIAID NIH HHS U01 AI069432NIAID NIH HHS U01 AI069434NIAID NIH HHS U01 AI069907NIAID NIH HHS U01 AI069911NIAID NIH HHS U01 AI069919NIAID NIH HHS U01 AI069923NIAID NIH HHS U01 AI069924NIAID NIH HHS U01 AI096299NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NIAID NIH HHS UM1 AI035043NIAID NIH HHS UM1 AI068634NIA NIH HHS R01 AG053100NICHD NIH HHS U01 HD032632NIDA NIH HHS F31 DA037788NIDA NIH HHS K24 DA000432NIDA NIH HHS R01 DA011602NIDA NIH HHS R01 DA012568NIDA NIH HHS U01 DA036935NIMHD NIH HHS G12 MD007583NIMHD NIH HHS U54 MD007587
6 · The paper itself

Abstract

backgroundUNAIDS models use data from the International epidemiology Databases to Evaluate AIDS (IeDEA) collaboration in setting assumptions about mortality rates after antiretroviral treatment (ART) initiation. This study aims to update these assumptions with new data, to quantify the extent of regional variation in ART mortality and to assess trends in ART mortality.

methodsAdult ART patients from Africa, Asia and the Americas were included if they had a known date of ART initiation during 2001-2017 and a baseline CD4 cell count. In cohorts that relied only on passive follow-up (no patient tracing or linkage to vital registration systems), mortality outcomes were imputed in patients lost to follow-up based on a meta-analysis of tracing study data. Poisson regression models were fitted to the mortality data.

results464 048 ART patients were included. In multivariable analysis, mortality rates were lowest in Asia and highest in Africa, with no significant differences between African regions. Adjusted mortality rates varied significantly between programmes within regions. Mortality rates in the first 12 months after ART initiation were significantly higher during 2001-2006 than during 2010-2014, although the difference was more substantial in Asia and the Americas [adjusted incidence rate ratio (aIRR) 1.43, 95% CI: 1.22-1.66] than in Africa (aIRR 1.07, 95% CI: 1.04-1.11).

conclusionThere is substantial variation in ART mortality between and within regions, even after controlling for differences in mortality by age, sex, baseline CD4 category and calendar period. ART mortality rates have declined substantially over time, although declines have been slower in Africa.

Indexed as

AdolescentAdultAfricaAmericasAnti-HIV AgentsAsiaCD4 Lymphocyte CountCohort StudiesDatabases, FactualFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedMultivariate AnalysisAnti-HIV Agents

Identifiers

PMID31800405
PMCPMC6919233

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Registered trials

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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.