Evidence map›Paper›PMID 27485138›Full record

ArticleBMC pregnancy and childbirth2016

Survival of neonates and predictors of their mortality in Tigray region, Northern Ethiopia: prospective cohort study.

Hayelom Gebrekirstos Mengesha, Alem Desta Wuneh, Wondwossen Terefe Lerebo, Tesfay Hailu Tekle

Abstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 6 pooled it
–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

69 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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9 more citing papers are in PubMed but not listed here.

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.

Hayelom Gebrekirstos MengeshaAdigrat University, College of Medicine and Health science, Adigrat, Ethiopia. hayetgeb@gmail.com.
Alem Desta WunehMekelle University, College of Health Science, Mekelle, Ethiopia.
Wondwossen Terefe LereboMekelle University, College of Health Science, Mekelle, Ethiopia.
Tesfay Hailu TekleMekelle University, College of Health Science, Mekelle, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal mortality accounts for an estimated 2.8 million deaths worldwide, which constitutes 44 % of under-5-mortality and 60 % of infant mortality. Neonatal mortality predictors vary by country with the availability and quality of health care. Therefore, aim of this study was to estimate survival time and identify predictors of neonatal mortality in Tigray region, northern Ethiopia.

methodA prospective cohort study design was carried out among a cohort of neonates delivered in seven hospitals of Tigray from April to July, 2014 and followed up for a total of 28 days. Data were collected by interviewing mothers using structured questionnaires and assessments of the neonate and mothers by midwives. Kaplan-Meier, Log rank test and Cox-proportional hazard regressions were used. STATA V-11 program was used for data entry, cleaning and analysis.

resultsFrom 1152 neonates, 68 died (neonatal mortality rate 62.5/1000 live births), 73.52 % of the neonates died within 7 days, 60 were lost to follow-up and the percentage of survival at 28 days was 93.96 % (95 % CI: 92.4, 95.2 %). Predictors of neonatal mortality were: normal birth weight (AHR: 0.45, 95 % CI: 0.24, 0.84), not initiating exclusive breastfeeding (AHR: 7.5, 95 % CI: 3.77, 15.05), neonatal complications (AHR: 0.14, 95 % CI 0.07, 0.29), maternal complications (AHR: 0.37, 95 % CI: 0.22, 0.63) and proximity (AHR: 2.5, 95 % CI: 1.29, 4.91).

conclusionNeonatal mortality is unacceptably very high. Managing complications and low birth weight, initiating exclusive breast feeding, improving quality of services and ensuring a continuum of care are recommended to increase survival of neonates.

Indexed as

Infant MortalityBreast FeedingEthiopiaFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornKaplan-Meier EstimateLinear ModelsPerinatal CarePregnancyProportional Hazards ModelsProspective StudiesRisk FactorsTime FactorsEthiopiaNeonatal mortalitySurvival analysisTigray region

Identifiers

PMID27485138
PMCPMC4971662

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LicenceCC BY
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Registered trials

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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.