Evidence map›Paper›PMID 19601781›Full record

ArticleCurrent HIV research2009

Impact of prior HAART use on clinical outcomes in a large Kenyan HIV treatment program.

Michael H Chung, Alison L Drake, Barbra A Richardson, Ashok Reddy, Joan Thiga, Samah R Sakr, James N Kiarie, Paul Yowakim, Grace C John-Stewart

Open access · greenAbstract read
In one paragraph

Article in Current HIV research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Michael H ChungDepartments of Medicine, University of Washington, Seattle, IARTP, Box 359909, Washington 98104, USA. mhchung@u.washington.edu
Alison L Drake
Barbra A Richardson
Ashok Reddy
Joan Thiga
Samah R Sakr
James N Kiarie
Paul Yowakim
Grace C John-Stewart
University of Washington · USFred Hutch Cancer Center · USUniversity of Nairobi · KE

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
VENEREAL DISEASET32AI007140 · NIAID · UNIVERSITY OF WASHINGTON · PI Julia Cook Dombrowski · 1985 to 2026
$19.4M
Pediatric HIV-1 in Africa: Pathogenesis and ManagementK24HD054314 · NICHD · UNIVERSITY OF WASHINGTON · PI JOHN-STEWART, GRACE C. · 2006 to 2016
$1.2M
HAART Adherence Interventions in Africa: an RCTK23AI065222 · NIAID · UNIVERSITY OF WASHINGTON · PI CHUNG, MICHAEL HOONBAE · 2005 to 2009
$639k
NIAID NIH HHS 5K23AI065222-04NIAID NIH HHS K23 AI065222NIAID NIH HHS P30 AI027757NIAID NIH HHS T32 AI007140NICHD NIH HHS K24 HD054314
6 · The paper itself

Abstract

backgroundHIV treatment programs in Africa typically approach all enrolling patients uniformly. Growing numbers of patients are antiretroviral experienced. Defining patients on the basis of antiretroviral experience may inform enrollment practices, particularly if medical outcomes differ.

methodsBaseline and follow-up measures (CD4, weight change, and survival) were compared in a retrospective analysis between antiretroviral-naïve (ARV-N) and antiretroviral experience (ARV-E) patients enrolled at the Coptic Hope Center for Infectious Diseases in Nairobi, Kenya and followed between January 2004 and August 2006.

results1,307 ARV-N and 962 ARV-E patients receiving highly active antiretroviral therapy (HAART) were followed for median of 9 months (interquartile range: 4-16 months). Compared to ARV-N, ARV-E had substantially higher CD4 count (median cells/mm(3), 193 versus 95, P < 0.001) and weight (median kg, 62 versus 57, P < 0.001) at baseline, and lower rates of change in CD4 (-9.2 cells/mm(3)/month; 95% CI, -11.4 -7.0) and weight (-0.24 kg/month; 95% CI, -0.35 - -0.14) over 12 months. Mortality was significantly higher in ARV-N than ARV-E (P = 0.001).

conclusionsARV-E patients form a growing group that differs significantly from ARV-N patients and requires a distinct approach from ARV-N clients. Systematic approaches to streamline care of ARV-E patients may allow focused attention on early ARV-N clients whose mortality risks are substantially higher.

Indexed as

Antiretroviral Therapy, Highly ActiveAdultAfricaAnti-HIV AgentsBody WeightCD4 Lymphocyte CountFemaleHIV InfectionsHumansKenyaLongitudinal StudiesMaleMiddle AgedTreatment OutcomeAnti-HIV Agents

Identifiers

PMID19601781
PMCPMC2735680
OpenAlexW2051469592

What OpenQuestion holds

Textmetadata
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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.