Evidence map›Paper›PMID 36262055›Full record

ArticleMaternal & child nutrition2023

How do children with severe underweight and wasting respond to treatment? A pooled secondary data analysis to inform future intervention studies.

Gloria A Odei Obeng-Amoako, Heather Stobaugh, Stephanie V Wrottesley, Tanya Khara, Paul Binns, Indi Trehan, Robert E Black, Patrick Webb, Martha Mwangome, Jeanette Bailey and 6 more

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

16 authors at 12 institutions in 8 countries.

Gloria A Odei Obeng-AmoakoClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-5004-3701
Heather StobaughAction Against Hunger USA, New York City, New York, USA.
Stephanie V WrottesleyEmergency Nutrition Network (ENN), Kidlington, UK.
Tanya KharaEmergency Nutrition Network (ENN), Kidlington, UK.
Paul BinnsAction Against Hunger UK, London, UK.
Indi TrehanDepartments of Paediatrics, Global Health, and Epidemiology, University of Washington, Seattle, Washington, USA.
Robert E BlackInstitute for International Programmes, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Patrick WebbFriedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA.
Martha MwangomeKenya Medical Research Institute (KEMRI), Centre for Geographic Medicine Research-Coast, Kilifi, Kenya.ORCID 0000-0003-4806-1307
Jeanette BaileyInternational Rescue Committee, New York City, New York, USA.
Paluku BahwereCenter for Epidémiology, Biostatistics and Clinical Research (CR2), School of Public Health, Université Libre de Bruxelles, Brussels, Belgium.
Carmel DolanN4D, London, UK.
Erin BoydFriedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA.
André BriendDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark.
Mark A MyattBrixton Health, Llwyngwril, Gwynedd, Wales, UK.
Natasha LelijveldEmergency Nutrition Network (ENN), Kidlington, UK.ORCID 0000-0002-8452-0198
Euclid Network · GBTufts University · USAction for ME · GBConservatoire for Dance and Drama · GBGwynedd Council · GBInternational Rescue Committee · USJohns Hopkins University · USKenya Medical Research Institute · KEMakerere University · UGUniversité Libre de Bruxelles · BEUniversity of Copenhagen · DKUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children with weight-for-age z-score (WAZ) <-3 have a high risk of death, yet this indicator is not widely used in nutrition treatment programming. This pooled secondary data analysis of children aged 6-59 months aimed to examine the prevalence, treatment outcomes, and growth trajectories of children with WAZ <-3 versus children with WAZ ≥-3 receiving outpatient treatment for wasting and/or nutritional oedema, to inform future protocols. Binary treatment outcomes between WAZ <-3 and WAZ ≥-3 admissions were compared using logistic regression. Recovery was defined as attaining mid-upper-arm circumference ≥12.5 cm and weight-for-height z-score ≥-2, without oedema, within a period of 17 weeks of admission. Data from 24,829 children from 9 countries drawn from 13 datasets were included. 55% of wasted children had WAZ <-3. Children admitted with WAZ <-3 compared to those with WAZ ≥-3 had lower recovery rates (28.3% vs. 48.7%), higher risk of death (1.8% vs. 0.7%), and higher risk of transfer to inpatient care (6.2% vs. 3.8%). Growth trajectories showed that children with WAZ <-3 had markedly lower anthropometry at the start and end of care, however, their patterns of anthropometric gains were very similar to those with WAZ ≥-3. If moderately wasted children with WAZ <-3 were treated in therapeutic programmes alongside severely wasted children, we estimate caseloads would increase by 32%. Our findings suggest that wasted children with WAZ <-3 are an especially vulnerable group and those with moderate wasting and WAZ <-3 likely require a higher intensity of nutritional support than is currently recommended. Longer or improved treatment may be necessary, and the timeline and definition of recovery likely need review.

Indexed as

Growth DisordersThinnessAnthropometryChildEdemaHumansInfantNutritional Statusanthropometrychild nutritionmalnutritionstuntingunderweightwasting

Identifiers

PMID36262055
PMCPMC9749592
OpenAlexW4306911496

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.