Evidence map›Paper›PMID 39961713›Full record

ArticleBMJ open2025

Importance of postmortem anthropometric evaluation in defining the role of malnutrition as a cause of infant and child deaths in Sub-Saharan Africa and South Asia: a cohort study.

Priya Mehta-Gupta Das, Zachary J Madewell, Dianna M Blau, Cynthia G Whitney, Usha Ramakrishnan, Aryeh D Stein, Melissa F Young, Parminder S Suchdev, Child Health and Mortality Prevention Surveillance Network

Abstract read
In one paragraph

Article in BMJ open, 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
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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

9 authors.

Priya Mehta-Gupta DasRollins School of Public Health, Emory University, Atlanta, Georgia, USA kso7@cdc.gov.ORCID http://orcid.org/0000-0002-9670-5595
Zachary J MadewellGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0002-5667-9660
Dianna M BlauGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Cynthia G WhitneyRollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Usha RamakrishnanHubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA.
Aryeh D SteinHubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA.
Melissa F YoungHubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA.
Parminder S SuchdevGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Child Health and Mortality Prevention Surveillance Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate how postmortem anthropometric malnutrition (PAM) measures align with expert panel attribution of malnutrition as a causal or significant condition in under-5 mortality (U5M).

designCohort study using data from the Child Health and Mortality Prevention Surveillance network, incorporating clinical records, postmortem anthropometrics, minimally invasive tissue sampling, clinical abstraction and verbal autopsy to determine multiple causes of death. SETTING/

participants1405 deaths of children aged 1-59 months from six African countries between 2016 and 2023. PRIMARY AND SECONDARY OUTCOME MEASURES: PAM was determined using z-scores from the WHO Child Growth Standards: underweight (weight-for-age<(-2)), wasting (arm circumference-for-age or weight-for-length<(-2)) and stunting (length-for-age <(-2)). Performance metrics (sensitivity (SE), specificity (SP) and positive predictive values (PPV)) were calculated to determine the alignment between PAM and expert panel attribution of malnutrition as a causal or significant condition to death.

resultsNearly 75% of cases demonstrated moderate-to-severe malnutrition by PAM, while expert panels attributed malnutrition in 41% of cases. Performance metrics varied across anthropometric indices: underweight exhibited the highest SE (89.7%), while wasting based on arm circumference had the highest SP (81.9%) and PPV (76.8%). Discrepancies between PAM classification and expert panel attribution differed significantly by site, age, location of death and preventability of death (p<0.05). Adjusted multivariate regression showed that expert panel attribution was more likely with increasing severity of PAM.

conclusionsThe proportion of U5M attributable to malnutrition ranged between 41% (expert panel attribution) and 74% (PAM). Variability in classification underscores the need for monitoring and quality improvement measures to address discrepancies. Improved alignment between PAM and panel assessments is essential for accurately identifying malnutrition-related deaths and designing effective interventions to reduce U5M.

Indexed as

AnthropometryChild MortalityChild Nutrition DisordersInfant MortalityMalnutritionAfrica South of the SaharaAsiaAsia, SouthernAutopsyCause of DeathChild, PreschoolCohort StudiesFemaleGrowth DisordersHumansInfantCommunity child healthEpidemiologyMortalityNutrition

Identifiers

PMID39961713
PMCPMC11836817

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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.