Evidence map›Paper›PMID 29683994›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2018

A Spatiotemporal Analysis of HIV-Associated Mortality in Rural Western Kenya 2011-2015.

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

Abstract readHistorical Article
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

Peter SifunaCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Lucas OtienoCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Ben AndagaluCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Janet OyiekoCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Bernhards OgutuCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Valentine SingoeiCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
John OwuothCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Sheila OgwangCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.
Jessica CowdenUnited States Army Medical Research Directorate-Kenya, Nairobi, Kenya.
Walter OtienoCentre for Clinical Research, US Army Medical Research Directorate-Kenya (USAMRD-K)/Kenya Medical Research Institute, Kisumu, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable data on the HIV epidemic is critical for the measurement of the impact of HIV response and for the implementation of further interventions.

methodsWe used mortality data from the Kombewa health and demographic surveillance systems (HDSS) from January 1, 2011 to December 31, 2015 to examine the space-time pattern of HIV-associated mortality. HIV mortality rate was calculated per 1000 persons living with HIV (for comparison with regional and national averages) and per 1000 person-years (p-y) for comparison with data from other HDSS sites. We used the Optimized Hot Spot Analysis to examine whether HIV-associated deaths would form statistically significant local aggregation in the 5-year period. P-value of <0.05 and <0.01 was considered significant.

resultsThe HIV-associated mortality rate over the 5-year period was 9.8 per 1000 persons living with HIV (PLHIV). Mortality declined from 11.6 per 1000 PLHIV in 2011 to 7.3 per 1000 PLHIV by the end of 2015. The rates of HIV were highest among infants [hazard ratio (HR) = 2.39 (<0.001)]. Tuberculosis mortality rates were highest in the age group 5-14 years [HR = 2.29 (0.002)] and the age group 50-64 years [HR = 1.18 (0.531)]. The overall trend in HIV-associated mortality showed a decline from 1.8 per 1000 p-y in 2011 to 1.3 per 1000 p-y by the end of 2015. The hotspot analysis showed that 20.0% of the study area (72 km) was detected as hotspots (Z = 2.382-3.143, P ≤ 0.001) and 4.2% of the study area as cold spots (15 km).

conclusionsHIV attributable death in the HDSS population is substantial, although it is lower than both the national and the regional estimates.

Indexed as

Rural PopulationHistory, 21st CenturyHIV InfectionsHumansKenyaMortalityPopulation Surveillance

Identifiers

PMID29683994
PMCPMC6075878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.