Evidence map›Paper›PMID 29502491›Full record

ArticleGlobal health action2018

Cause-specific mortality in the Kombewa health and demographic surveillance systems site, rural Western Kenya from 2011-2015.

Peter Sifuna, Lucas Otieno, Sheila Ogwang, Bernhards Ogutu, Ben Andagalu, John Owuoth, Valentine Singoei, Jessica Cowden, Walter Otieno

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. A Spatiotemporal Analysis of HIV-Associated Mortality in Rural Western Kenya 2011-2015.Journal of acquired immune deficiency syndromes (1999) · 2018
    Article
  10. A holistic approach to the mycetoma management.PLoS neglected tropical diseases · 2018
    Article
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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

9 authors at 3 institutions in 2 countries.

Peter Sifunaa US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Lucas Otienoa US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Sheila Ogwanga US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Bernhards Ogutua US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Ben Andagalua US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
John Owuotha US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Valentine Singoeia US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Jessica Cowdenc Defense Institute for Medical Operations , TX , USA.
Walter Otienoa US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute (KEMRI) , Kisumu , Kenya.
Kenya Medical Research Institute · KEIndepth Network · GHUnited States Army Medical Research Directorate - Africa · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe vast majority of deaths in the health and Kombewa demographic surveillance system (HDSS) study area are not registered and reported through official systems of vital registration. As a result, few data are available regarding causes of death in this population.

objectivesTo describe causes of death among residents of all ages in the Kombewa HDSS, located in rural Western Kenya.

methodsVerbal autopsy (VA) interviews at the site were conducted using the modified 2007 and later 2012 standardized WHO questionnaires. Assignment of causes of death was made using the InterVA-4 model version 4.02. Cox regression model, adjusted for sex, was built to evaluate the influence of age on mortality.

resultsThere were a total of 5196 deaths recorded between 2011 and 2015 at the site. VA interviews were successfully completed for 3903 of these deaths (75.1%). Mortality rates were highest among neonates HR = 38.54 (<0.001) and among Infants HR = 2.07 (<0.006) in the Kombewa HDSS. Among those deaths in which VA was performed, the top causes of death were HIV/AIDS (12.6%), Malaria (10.3%), Pneumonia (10.1%), Acute abdomen (7.0%), Stroke (5.2%) and TB (4.9%) for the whole population in general. Stroke, acute abdomen heart diseases and Pneumonia were common causes of death (CODs) among the elderly over the age of 65.

conclusionsThe analysis established the main CODs among people of all ages within the area served by the Kombewa HDSS. We hope that information generated from this study will help better address preventable deaths in the surveyed community as well as help mitigate negative health impacts in other rural communities throughout the Western Kenya region.

Indexed as

Population SurveillanceAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolFemaleForecastingHumansInfantInfant, NewbornKenyaMaleMiddle Agedcause-specific mortality fractionINDEPTH networkInterVA-4rural KenyaVerbal autopsy

Identifiers

PMID29502491
PMCPMC5844040
OpenAlexW2792456457

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.