Evidence map›Paper›PMID 24762982›Full record

ArticleGlobal health action2014

How have ART treatment programmes changed the patterns of excess mortality in people living with HIV? Estimates from four countries in East and Southern Africa.

Emma Slaymaker, Jim Todd, Milly Marston, Clara Calvert, Denna Michael, Jessica Nakiyingi-Miiro, Amelia Crampin, Tom Lutalo, Kobus Herbst, Basia Zaba

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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 40 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

10 authors at 5 institutions in 5 countries.

Emma SlaymakerDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK; emma.slaymaker@lshtm.ac.uk.
Jim ToddDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK; TAZAMA Project, National Institute for Medical Research, Mwanza, Tanzania.
Milly MarstonDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Clara CalvertDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Denna MichaelTAZAMA Project, National Institute for Medical Research, Mwanza, Tanzania.
Jessica Nakiyingi-MiiroMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Research Unit on AIDS, Entebbe, Uganda.
Amelia CrampinDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK; Karonga Prevention Study, Chilumba, Malawi.
Tom LutaloRakai Health Sciences Program, Uganda Virus Research Institute, Entebbe, Uganda.
Kobus HerbstThe Africa Centre for Health and Population Studies, University of KwaZulu-Natal (UKZN), Somkhele, South Africa.
Basia ZabaDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBNational Institute for Medical Research · TZUganda Virus Research Institute · UGMalawi Epidemiology and Intervention Research Unit · MWUniversity of KwaZulu-Natal · ZA

Funding

Wellcome Trust 090959/Z/09/ZWellcome Trust 097410Wellcome Trust 098610
6 · The paper itself

Abstract

backgroundSubstantial falls in the mortality of people living with HIV (PLWH) have been observed since the introduction of antiretroviral therapy (ART) in sub-Saharan Africa. However, access and uptake of ART have been variable in many countries. We report the excess deaths observed in PLWH before and after the introduction of ART. We use data from five longitudinal studies in Malawi, South Africa, Tanzania, and Uganda, members of the network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA).

methodsIndividual data from five demographic surveillance sites that conduct HIV testing were used to estimate mortality attributable to HIV, calculated as the difference between the mortality rates in PLWH and HIV-negative people. Excess deaths in PLWH were standardized for age and sex differences and summarized over periods before and after ART became generally available. An exponential regression model was used to explore differences in the impact of ART over the different sites.

results127,585 adults across the five sites contributed a total of 487,242 person years. Before the introduction of ART, HIV-attributable mortality ranged from 45 to 88 deaths per 1,000 person years. Following ART availability, this reduced to 14-46 deaths per 1,000 person years. Exponential regression modeling showed a reduction of more than 50% (HR =0.43, 95% CI: 0.32-0.58), compared to the period before ART was available, in mortality at ages 15-54 across all five sites. DISCUSSION: Excess mortality in adults living with HIV has reduced by over 50% in five communities in sub-Saharan Africa since the advent of ART. However, mortality rates in adults living with HIV are still 10 times higher than in HIV-negative people, indicating that substantial improvements can be made to reduce mortality further. This analysis shows differences in the impact across the sites, and contrasts with developed countries where mortality among PLWH on ART can be similar to that of the general population. Further research is urgently needed to establish why the different impacts on mortality were observed and how the care and treatment programmes in these countries can be more effective in reducing mortality further.

Indexed as

AdolescentAdultAge FactorsAnti-HIV AgentsFemaleHIV InfectionsHumansLongitudinal StudiesMalawiMaleMiddle AgedPopulation SurveillanceProportional Hazards ModelsSexSouth AfricaTanzaniaAnti-HIV AgentsALPHA networkantiretroviral therapyHIVmortalitysub-Saharan Africa

Identifiers

PMID24762982
PMCPMC3999950
OpenAlexW2006730976

What OpenQuestion holds

Textmetadata
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.