Evidence map›Paper›PMID 25280741›Full record

ArticleGlobal health action2014

Factors associated with mortality in HIV-infected people in rural and urban South Africa.

Kennedy N Otwombe, Max Petzold, Tebogo Modisenyane, Neil A Martinson, Tobias Chirwa

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-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

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

  1. Pooled it
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  7. Review
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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

5 authors at 3 institutions in 3 countries.

Kennedy N OtwombePerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; otwombek@phru.co.za.
Max PetzoldCentre for Applied Biostatistics, Occupational and Environmental Medicine, University of Gothenburg, Gothenburg, Sweden.
Tebogo ModisenyanePerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Neil A MartinsonPerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Center for TB Research, Johns Hopkins University, Baltimore, MD, USA.
Tobias ChirwaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZAUniversity of Baltimore · USUniversity of Gothenburg · SE

Funding

South Africa Tuberculosis AIDS Training (SATBAT)U2RTW007370 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI MARTINSON, NEIL A · 2007 to 2011
$1.9M
FIC NIH HHS TW007370/3PEPFAR 674-A-00-08-00009-00Wellcome Trust 087547/Z/08/Z
6 · The paper itself

Abstract

backgroundFactors associated with mortality in HIV-infected people in sub-Saharan Africa are widely reported. However rural-urban disparities and their association with all-cause mortality remain unclear. Furthermore, commonly used classical Cox regression ignores unmeasured variables and frailty.

objectiveTo incorporate frailty in assessing factors associated with mortality in HIV-infected people in rural and urban South Africa.

designUsing data from a prospective cohort following 6,690 HIV-infected participants from Soweto (urban) and Mpumalanga (rural) enrolled from 2003 to 2010; covariates of mortality were assessed by the integrated nested Laplace approximation method.

resultsWe enrolled 2,221 (33%) rural and 4,469 (67%) urban participants of whom 1,555 (70%) and 3,480 (78%) were females respectively. Median age (IQR) was 36.4 (31.0-44.1) in rural and 32.7 (28.2-38.1) in the urban participants. The mortality rate per 100 person-years was 11 (9.7-12.5) and 4 (3.6-4.5) in the rural and urban participants, respectively. Compared to those not on HAART, rural participants had a reduced risk of mortality if on HAART for 6-12 (HR: 0.20, 95% CI: 0.10-0.39) and >12 months (HR: 0.10, 95% CI: 0.05-0.18). Relative to those not on HAART, urban participants had a lower risk if on HAART >12 months (HR: 0.35, 95% CI: 0.27-0.46). The frailty variance was significant and >1 in rural participants indicating more heterogeneity. Similarly it was significant but <1 in the urban participants indicating less heterogeneity.

conclusionThe frailty model findings suggest an elevated risk of mortality in rural participants relative to the urban participants potentially due to unmeasured variables that could be biological, socio-economic, or healthcare related. Use of robust methods that optimise data and account for unmeasured variables could be helpful in assessing the effect of unknown risk factors thus improving patient management and care in South Africa and elsewhere.

Indexed as

Rural PopulationUrban PopulationAdultAge FactorsAntiretroviral Therapy, Highly ActiveBody Mass IndexCD4 Lymphocyte CountFemaleHIV InfectionsHumansMaleMiddle AgedProspective StudiesRisk FactorsSex FactorsSocioeconomic FactorsFrailtyHAARTHIVMortalityRuralUrban

Identifiers

PMID25280741
PMCPMC4185089
OpenAlexW2021880350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.