Evidence map›Paper›PMID 40993569›Full record

SynthesisBMC public health2025

Determinants of neonatal mortality in sub-Saharan Africa: systematic review and meta-analysis of adverse newborn conditions.

Belayneh Hamdela Jena, Mesfin Menza Jaldo

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

2 authors.

Belayneh Hamdela JenaDepartment of Epidemiology, School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia. bhamdela@gmail.com.
Mesfin Menza JaldoDepartment of Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary studies conducted in sub-Saharan Africa (SSA) reported an inconsistent association between adverse newborn conditions and neonatal mortality. Thus, this review was aimed at assessing the association of adverse newborn conditions with neonatal mortality and generating a pooled estimate of the association using a large sample size from primary studies conducted in SSA.

methodsDatabases (PubMed, ScienceDirect, and Hinari for health via Research4Life) and gray literature sources were accessed. Relevant studies were retrieved from related studies via snowballing. To search the studies, a combination of medical subject headings (MeSH terms) using Boolean operators and key words related to neonatal mortality were considered. Full-text articles published from observational studies in SSA were included. Higgins's I

resultsA total of 36 studies were included to answer the review questions. The pooled odds ratios (OR) indicated that adverse newborn conditions: preterm birth [(OR = 3.76, 95% CI 2.92, 4.84), I

conclusionsNeonatal mortality in sub-Saharan Africa was significantly associated with adverse newborn conditions, highlighting the need to strengthen essential newborn care practices. Maternal health services such as good antenatal care services, nutrition during pregnancy, quality intrapartum care, and infection prevention are also fundamental to reducing the risk of neonatal mortality in SSA.

Indexed as

Infant MortalityInfant, Newborn, DiseasesAfrica South of the SaharaFemaleHumansInfant, NewbornPregnancyRisk FactorsAdverse newborn conditionsDeterminantsNeonatal mortalitySub-Saharan Africa

Identifiers

PMID40993569
PMCPMC12462363

What OpenQuestion holds

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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.