Evidence map›Paper›PMID 28767714›Full record

ArticlePloS one2017

HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015.

Peter W Young, Andrea A Kim, Joyce Wamicwe, Lilly Nyagah, Catherine Kiama, John Stover, Johansen Oduor, Emily A Rogena, Edwin Walong, Emily Zielinski-Gutierrez and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. COVID-19 impact on HIV PrEP uptake and retention at selected health facilities in Eswatini.African journal of primary health care & family medicine · 2024
    Article
  2. Effect of Time Since Death on Multipathogen Molecular Test Results of Postmortem Specimens Collected Using Minimally Invasive Tissue Sampling Techniques.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  3. Article
  4. HIV-Related Deaths in Nairobi, Kenya: Results From a HIV Mortuary Surveillance Study, 2015.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
  5. Article
  6. Evaluation of an HIV-Related Mortuary Surveillance System - Nairobi, Kenya, Two Sites, 2015.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2018
    Article
  7. 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

14 authors at 4 institutions in 2 countries.

Peter W YoungDivision of Global HIV & Tuberculosis (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.ORCID http://orcid.org/0000-0002-7432-2876
Andrea A KimDivision of Global HIV & Tuberculosis (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Joyce WamicweNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Lilly NyagahNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Catherine KiamaField Epidemiology Training Program, Ministry of Health, Nairobi, Kenya.
John StoverAvenir Health, Glastonbury, CT, United States of America.ORCID http://orcid.org/0000-0001-7236-1989
Johansen OduorDivision of Forensic and Pathology Services, Ministry of Health, Nairobi, Kenya.
Emily A RogenaUniversity of Nairobi and Kenyatta National Hospital, Nairobi, Kenya.
Edwin WalongUniversity of Nairobi and Kenyatta National Hospital, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-1579-1880
Emily Zielinski-GutierrezDivision of Global HIV & Tuberculosis (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Andrew ImbwagaKenya National Bureau of Statistics, Nairobi, Kenya.
Martin SirengoNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Timothy A KelloggUniversity of California San Francisco, Nairobi, Kenya.
Kevin M De CockDivision of Global HIV & Tuberculosis (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Ministry of Health · KECenters for Disease Control and Prevention · KEUniversity of Nairobi · KEAvenir Health · US

Funding

CGH CDC HHS U19 GH000069
6 · The paper itself

Abstract

backgroundDeclines in HIV prevalence and increases in antiretroviral treatment coverage have been documented in Kenya, but population-level mortality associated with HIV has not been directly measured. In urban areas where a majority of deaths pass through mortuaries, mortuary-based studies have the potential to contribute to our understanding of excess mortality among HIV-infected persons. We used results from a cross-sectional mortuary-based HIV surveillance study to estimate the association between HIV and mortality for Nairobi, the capital city of Kenya. METHODS AND

findingsHIV seropositivity in cadavers measured at the two largest mortuaries in Nairobi was used to estimate HIV prevalence in adult deaths. Model-based estimates of the HIV-infected and uninfected population for Nairobi were used to calculate a standardized mortality ratio and population-attributable fraction for mortality among the infected versus uninfected population. Monte Carlo simulation was used to assess sensitivity to epidemiological assumptions. When standardized to the age and sex distribution of expected deaths, the estimated HIV positivity among adult deaths aged 15 years and above in Nairobi was 20.9% (95% CI 17.7-24.6%). The standardized mortality ratio of deaths among HIV-infected versus uninfected adults was 4.35 (95% CI 3.67-5.15), while the risk difference was 0.016 (95% CI 0.013-0.019). The HIV population attributable mortality fraction was 0.161 (95% CI 0.131-0.190). Sensitivity analyses demonstrated robustness of results.

conclusionsAlthough 73.6% of adult PLHIV receive antiretrovirals in Nairobi, their risk of death is four-fold greater than in the uninfected, while 16.1% of all adult deaths in the city can be attributed to HIV infection. In order to further reduce HIV-associated mortality, high-burden countries may need to reach very high levels of diagnosis, treatment coverage, retention in care, and viral suppression.

Indexed as

AdolescentAdultAgedAnti-Retroviral AgentsCadaverCross-Sectional StudiesFemaleHIV InfectionsHumansKenyaMaleMiddle AgedPopulation SurveillanceYoung AdultAnti-Retroviral Agents

Identifiers

PMID28767714
PMCPMC5540587
OpenAlexW2742045918

What OpenQuestion holds

Textmetadata
LicenceCC0
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.