Evidence map›Paper›PMID 22904691›Full record

SynthesisPLoS medicine2012

Neonatal mortality risk associated with preterm birth in East Africa, adjusted by weight for gestational age: individual participant level meta-analysis.

Tanya Marchant, Barbara Willey, Joanne Katz, Siân Clarke, Simon Kariuki, Feiko ter Kuile, John Lusingu, Richard Ndyomugyenyi, Christentze Schmiegelow, Deborah Watson-Jones and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 4 pooled it
11.9field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 4 syntheses or guidelines pooled it, 142 citations in OpenAlex.

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  11. Factors influencing the utilization of postpartum visits among rural women in China.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2014
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26 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

11 authors at 7 institutions in 6 countries.

Tanya MarchantFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom. Tanya.Marchant@lshtm.ac.uk
Barbara Willey
Joanne Katz
Siân Clarke
Simon Kariuki
Feiko ter Kuile
John Lusingu
Richard Ndyomugyenyi
Christentze Schmiegelow
Deborah Watson-Jones
Joanna Armstrong Schellenberg
London School of Hygiene & Tropical Medicine · GBCenters for Disease Control and Prevention · KEJohns Hopkins University · USLiverpool School of Tropical Medicine · GBMinistry of Health · UGNational Institute for Medical Research · TZRigshospitalet · DK

Funding

Wellcome Trust 084933
6 · The paper itself

Abstract

backgroundLow birth weight and prematurity are amongst the strongest predictors of neonatal death. However, the extent to which they act independently is poorly understood. Our objective was to estimate the neonatal mortality risk associated with preterm birth when stratified by weight for gestational age in the high mortality setting of East Africa. METHODS AND

findingsMembers and collaborators of the Malaria and the MARCH Centers, at the London School of Hygiene & Tropical Medicine, were contacted and protocols reviewed for East African studies that measured (1) birth weight, (2) gestational age at birth using antenatal ultrasound or neonatal assessment, and (3) neonatal mortality. Ten datasets were identified and four met the inclusion criteria. The four datasets (from Uganda, Kenya, and two from Tanzania) contained 5,727 births recorded between 1999-2010. 4,843 births had complete outcome data and were included in an individual participant level meta-analysis. 99% of 445 low birth weight (< 2,500 g) babies were either preterm (< 37 weeks gestation) or small for gestational age (below tenth percentile of weight for gestational age). 52% of 87 neonatal deaths occurred in preterm or small for gestational age babies. Babies born < 34 weeks gestation had the highest odds of death compared to term babies (odds ratio [OR] 58.7 [95% CI 28.4-121.4]), with little difference when stratified by weight for gestational age. Babies born 34-36 weeks gestation with appropriate weight for gestational age had just three times the likelihood of neonatal death compared to babies born term, (OR 3.2 [95% CI 1.0-10.7]), but the likelihood for babies born 34-36 weeks who were also small for gestational age was 20 times higher (OR 19.8 [95% CI 8.3-47.4]). Only 1% of babies were born moderately premature and small for gestational age, but this group suffered 8% of deaths. Individual level data on newborns are scarce in East Africa; potential biases arising due to the non-systematic selection of the individual studies, or due to the methods applied for estimating gestational age, are discussed.

conclusionsModerately preterm babies who are also small for gestational age experience a considerably increased likelihood of neonatal death in East Africa.

Indexed as

Gestational AgeInfant, Low Birth WeightInfant MortalityAfrica, EasternCohort StudiesFemaleHumansInfant, NewbornInfant, Small for Gestational AgeMalariaOutcome Assessment, Health CarePregnancyPregnancy Complications, ParasiticPremature BirthPrevalenceRisk Factors

Identifiers

PMID22904691
PMCPMC3419185
OpenAlexW2019289460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.