Evidence map›Paper›PMID 40550576›Full record

Observational studyBMJ global health2025

Mortality risks of infants with unmeasured birth weight in 33 sub-Saharan African countries: an observational analysis.

Abiodun Adanikin, Tina Lavin, Taofik Ogunkunle, George Uchenna Eleje, Alfred Osoti, Aisha Abdurrahman, Eric Ohuma

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Abiodun AdanikinCentre for Healthcare and Communities, Coventry University, Coventry, UK ad8665@coventry.ac.uk.ORCID http://orcid.org/0000-0001-5811-0390
Tina LavinSchool of Population and Global Health, The University of Western Australia Faculty of Medicine Dentistry and Health Sciences, Perth, Western Australia, Australia.
Taofik OgunkunlePaediatrics Department, Dalhatu Araf Specialist Hospital, Lafia, Nigeria.
George Uchenna ElejeDepartment of Obstetrics and Gynecology, Nnamdi Azikiwe University, Awka, Nigeria.
Alfred OsotiDepartment of Obstetrics and Gynecology, University of Nairobi, Nairobi, Kenya.
Aisha AbdurrahmanDepartment of Obstetrics and Gynecology, Federal Teaching Hospital, Kastina, Nigeria.
Eric OhumaLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-3116-2593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough most infants have their birth weights measured, not all newborns have this opportunity, particularly those in low and middle-income countries. This study evaluates neonatal, infant and child mortality among infants who were not weighed at birth compared with peers weighed at birth and to those identified as having low birth weight.

methodsA cross-sectional observational study of 308 414 African children in 33 countries from the most recent nationally representative Demographic Health Surveys was conducted between 2011 and 2022. Mixed effect Cox regression was used to estimate HRs and 95% CIs, with adjustments made for socioeconomic and proximate determinants of child survival.

findingsIn total, 116 717 (37.84%) infants did not have their birth weight measured. Compared with infants with a measured birth weight, infants without a measured birth weight were at least three and half-times more likely to die within the initial 28 days of life (HR: 3.51; 95% CI 3

interpretationInfants whose birth weight is not measured face a higher mortality risk before age 5 compared with those with measured birth weights. The absence of birth weight measurement may indicate a higher risk profile for newborns and their vulnerability to mortality.

Indexed as

Birth WeightChild MortalityInfant, Low Birth WeightInfant MortalityAfrica South of the SaharaCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleRisk FactorsChild healthDelivery of Health Care

Identifiers

PMID40550576
PMCPMC12184339

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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.