Evidence map›Paper›PMID 24138838›Full record

ArticleGlobal health action2013

InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries.

Peter Byass, Clara Calvert, Jessica Miiro-Nakiyingi, Tom Lutalo, Denna Michael, Amelia Crampin, Simon Gregson, Albert Takaruza, Laura Robertson, Kobus Herbst and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Global health action, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 52 citations in OpenAlex.

  1. Verbal autopsy-assigned causes of death among adults being investigated for TB in South Africa.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2016
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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

12 authors at 9 institutions in 8 countries.

Peter ByassWHO Collaborating Centre for Verbal Autopsy, Umeå Centre for Global Health Research, Umeå University, Umeå, Sweden; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; peter.byass@epiph.umu.se.
Clara Calvert
Jessica Miiro-Nakiyingi
Tom Lutalo
Denna Michael
Amelia Crampin
Simon Gregson
Albert Takaruza
Laura Robertson
Kobus Herbst
Jim Todd
Basia Zaba
London School of Hygiene & Tropical Medicine · GBImperial College London · GBMalawi Epidemiology and Intervention Research Unit · MWNational Institute for Medical Research · TZPractical Action · ZWRakai Health Sciences Program · UGUganda Virus Research Institute · UGUmeå University · SEUniversity of KwaZulu-Natal · ZA

Funding

ARV effects on HIV epidemiology &behaviors Rakai UgandaR01HD050180 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2005 to 2009
$7.8M
Medical Research CouncilNICHD NIH HHS R01HD050180PEPFARWellcome Trust 075886/Z/04/ZWellcome Trust 079828/Z/06/ZWellcome Trust 082384/Z/07/ZWellcome Trust 084401/Z/07/ZWellcome Trust 098610
6 · The paper itself

Abstract

backgroundReliable population-based data on HIV infection and AIDS mortality in sub-Saharan Africa are scanty, even though that is the region where most of the world's AIDS deaths occur. There is therefore a great need for reliable and valid public health tools for assessing AIDS mortality.

objectiveThe aim of this article is to validate the InterVA-4 verbal autopsy (VA) interpretative model within African populations where HIV sero-status is recorded on a prospective basis, and examine the distribution of cause-specific mortality among HIV-positive and HIV-negative people.

designData from six sites of the Alpha Network, including HIV sero-status and VA interviews, were pooled. VA data according to the 2012 WHO format were extracted, and processed using the InterVA-4 model into likely causes of death. The model was blinded to the sero-status data. Cases with known pre-mortem HIV infection status were used to determine the specificity with which InterVA-4 could attribute HIV/AIDS as a cause of death. Cause-specific mortality fractions by HIV infection status were calculated, and a person-time model was built to analyse adjusted cause-specific mortality rate ratios.

resultsThe InterVA-4 model identified HIV/AIDS-related deaths with a specificity of 90.1% (95% CI 88.7-91.4%). Overall sensitivity could not be calculated, because HIV-positive people die from a range of causes. In a person-time model including 1,739 deaths in 1,161,688 HIV-negative person-years observed and 2,890 deaths in 75,110 HIV-positive person-years observed, the mortality ratio HIV-positive:negative was 29.0 (95% CI 27.1-31.0), after adjustment for age, sex, and study site. Cause-specific HIV-positive:negative mortality ratios for acute respiratory infections, HIV/AIDS-related deaths, meningitis, tuberculosis, and malnutrition were higher than the all-cause ratio; all causes had HIV-positive:negative mortality ratios significantly higher than unity.

conclusionsThese results were generally consistent with relatively small post-mortem and hospital-based diagnosis studies in the literature. The high specificity in cause of death attribution achieved in relation to HIV status, and large differences between specific causes by HIV status, show that InterVA-4 is an effective and valid tool for assessing HIV-related mortality.

Indexed as

AdolescentAdultAfrica South of the SaharaAgedAutopsyCause of DeathFemaleHIV InfectionsHumansMaleMiddle AgedPublic HealthYoung AdultAfricaAlpha NetworkHIV/AIDSInterVAmortalityverbal autopsy

Identifiers

PMID24138838
PMCPMC3800746
OpenAlexW2007887136

What OpenQuestion holds

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LicenceCC BY
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.