Evidence map›Paper›PMID 31037174›Full record

ArticleThe Pan African medical journal2018

Predictors of post neonatal mortality in Western Kenya: a cohort study.

Grace Kaguthi, Videlis Nduba, Martien Wilhelm Borgdorff, Suzanne Verver

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
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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

4 authors at 3 institutions in 2 countries.

Grace KaguthiKenya Medical Research Institute, Centre for Respiratory Diseases Research, Nairobi, Kenya.
Videlis NdubaKenya Medical Research Institute, Centre for Respiratory Diseases Research, Nairobi, Kenya.
Martien Wilhelm BorgdorffAcademic Medical Centre, University of Amsterdam, the Netherlands.
Suzanne VerverAcademic Medical Centre, University of Amsterdam, the Netherlands.
University of Amsterdam · NLErasmus University Rotterdam · NLKenya Medical Research Institute · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionto determine the predictors of mortality in infants in Siaya, western Kenya, ahead of novel tuberculosis (TB) vaccine trials in the same population.

methodsin a study to determine tuberculosis incidence, 2900 infants aged 0-45 days, weighing ≥ 1700g were enrolled. Four monthly follow up visits were conducted for at least 12 months. HIV testing was done at six weeks of age. Free ancillary care was provided. Deaths were reported by parents, study staff and community workers. Cox proportional Hazard analysis was used to identify risk factors. The period of analysis commenced at six weeks old and was censored at 12 months of age.

resultsincluded in the analysis were 2528 infants with 2020 person years of follow up (pyo). There were 117 deaths (4.6 %). The post-neonatal mortality rate was 58 (95% CI: 48, 69) per 1000 pyo. In multivariate analysis, health facility births were protective against mortality (Hazard Ratio (HR) 0.54; 95% CI: 0.34, 0.84) and infant HIV infection at baseline was associated with increased mortality (HR 10.3; 95% CI: 6.40, 16.7). HIV uninfected infants born to HIV infected mothers had increased hazards of mortality (HR 1.73; 95% CI: 1.03, 2.90). Gender, weight at six weeks, maternal education and occupation were not significant predictors of mortality.

conclusioninfant mortality was high and was associated with being born outside a health facility, maternal HIV infection and HIV infection of the infant. Measures to decrease mother to child transmission and other HIV control measures need to be strengthened further to see incremental reductions in infant mortality.

Indexed as

Infant MortalityCohort StudiesFemaleFollow-Up StudiesHIV InfectionsHumansIncidenceInfantInfant, NewbornInfectious Disease Transmission, VerticalKenyaMalePregnancyPregnancy Complications, InfectiousProportional Hazards ModelsRisk FactorsinfantMortalitypost-neonataltuberculosisvaccine

Identifiers

PMID31037174
PMCPMC6462392
OpenAlexW2895974142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.