Evidence map›Paper›PMID 24312317›Full record

ArticlePloS one2013

The effect of a maturing antiretroviral program on early mortality for patients with advanced immune-suppression in Soweto, South Africa.

Kennedy N Otwombe, Fatima Laher, Thandeka Tutu-Gxashe, Glenda Gray, Lerato Mohapi

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Rutin Attenuates Hepatotoxicity in High-Cholesterol-Diet-Fed Rats.Oxidative medicine and cellular longevity · 2016
    Article
  3. 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

5 authors.

Kennedy N OtwombePerinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, Gauteng, South Africa.
Fatima Laher
Thandeka Tutu-Gxashe
Glenda Gray
Lerato Mohapi

Funding

PEPFAR
6 · The paper itself

Abstract

objectiveWe hypothesize that time to initiate care and maturity of a treatment program impact on outcome of severely immuno-compromised patients with higher risk of mortality.

designWe conducted a retrospective cohort analysis at the Perinatal HIV Research Unit Adult ART clinic, Soweto, South Africa.

methodsELIGIBILITY CRITERIA FOR THIS ANALYSIS WERE: attendance for minimum one visit between August 2004 and August 2010, age >18 years, CD4 count < 50 cells/mm(3) and ART-naïve at screening. We followed participants up to one year after ART initiation. We defined years 2004-2007 and 2008-2010 as the early and late eras respectively. Chi-square test and survival analysis methods were used for mortality comparisons between eras.

resultsOf 2357 patients eligible for antiretroviral treatment, 395 (17%) had CD4 counts < 50 cells/mm(3) and ART-naïve at screening. Overall 261 (66%) were women. Patients had similar median age (35 vs. 33.5 years, p=0.08), time to HAART initiation (7 days, p=0.18) and baseline CD4 count (20 vs. 23 cells/mm(3), p=0.5) between eras. Overall 63 (16%) patients died in their first year of treatment (2 per 100 person-months) and the main cause of death was tuberculosis (n=23, 37%). The proportion of deaths (52/262 vs. 11/133, p=0.003) and time to death from enrolment (logrank p=0.04) were significantly different between eras.

conclusionMortality decreased as the ART program matured in Soweto while time to initiation of treatment remained similar in both eras. Because ART guidelines were consistent during both eras, it is possible that with time, management of patients improved as expertise was gained.

Indexed as

AdultAnti-HIV AgentsCD4 Lymphocyte CountCohort StudiesFemaleHIV InfectionsHumansImmune ToleranceMaleRetrospective StudiesRiskSouth AfricaAnti-HIV Agents

Identifiers

PMID24312317
PMCPMC3842951

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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.