Evidence map›Paper›PMID 35051186›Full record

ArticlePloS one

Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019).

Anthony Waruru, Dickens Onyango, Lilly Nyagah, Alex Sila, Wanjiru Waruiru, Solomon Sava, Elizabeth Oele, Emmanuel Nyakeriga, Sheru W Muuo, Jacqueline Kiboye and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 10 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

16 authors at 7 institutions in 3 countries.

Anthony WaruruDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-4281-6345
Dickens OnyangoKisumu County Department of Health, Kisumu, Kenya.
Lilly NyagahMinistry of Health, National AIDS and STI Control Programme, Nairobi, Kenya.
Alex SilaGlobal Programs for Research and Training, Nairobi, Kenya.
Wanjiru WaruiruGlobal Programs for Research and Training, Nairobi, Kenya.
Solomon SavaJaramogi Oginga Odinga Teaching and Referral Hospital, Kisumu, Kenya.
Elizabeth OeleKisumu County Department of Health, Kisumu, Kenya.
Emmanuel NyakerigaGlobal Programs for Research and Training, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1658-5934
Sheru W MuuoGlobal Programs for Research and Training, Nairobi, Kenya.
Jacqueline KiboyeCivil Registration Services, Kisumu County, Kenya.
Paul K MusingilaDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-8453-9120
Marianne A B van der SandeDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Thaddeus MassawaKisumu County Referral Hospital, Kisumu, Kenya.
Emily A RogenaDepartment of Human Pathology, School of Medicine, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Kevin M DeCockDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Peter W YoungDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-7432-2876
Centers for Disease Control and Prevention · KEPartners for Health and Development in Africa · KEUniversity Medical Center Utrecht · NLGreat Lakes University of Kisumu · KEJaramogi Oginga Odinga University of Science and Technology · KEJomo Kenyatta University of Agriculture and Technology · KEMinistry of Health · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry.

methodsMedical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen's Kappa (κ) and assessed for the independence of proportions using Pearson's chi-squared test.

findingsThe four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26).

conclusionsMortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications.

Indexed as

Cause of DeathHIV InfectionsAdolescentAdultAgedChildChild, PreschoolEndemic DiseasesFemaleGlobal Burden of DiseaseHumansInfantKenyaMaleMiddle AgedYoung Adult

Identifiers

PMID35051186
PMCPMC8775329
OpenAlexW4205870931

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.