Evidence map›Paper›PMID 39729452›Full record

ArticlePloS one2024

Determining an optimal case definition using mid-upper arm circumference with or without weight for age to identify childhood wasting in the Philippines.

Lyle Daryll Dimaano Casas, Jhanna Uy, Eldridge Ferrer, Charmaine Duante, Paluku Bahwere, Rene Gerard Galera, Alice Nkoroi, Behzad Noubary, Mueni Mutunga, Sanele Nkomani and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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

12 authors.

Lyle Daryll Dimaano CasasResearch Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.ORCID 0000-0002-0542-7463
Jhanna UyResearch Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.ORCID 0000-0002-5353-2903
Eldridge FerrerNutritional Assessment and Monitoring Division, Food and Nutrition Research Institute, DOST Compound, Taguig, Metro Manila, Philippines.ORCID 0000-0002-9915-7010
Charmaine DuanteNutritional Assessment and Monitoring Division, Food and Nutrition Research Institute, DOST Compound, Taguig, Metro Manila, Philippines.
Paluku BahwereEast Asia and Pacific Regional Office, United Nations Children's Fund, Pra Nakhon, Bangkok, Thailand.
Rene Gerard GaleraPhilippine Country Office, United Nations Children's Fund, Mandaluyong City, Metro Manila, Philippines.
Alice NkoroiPhilippine Country Office, United Nations Children's Fund, Mandaluyong City, Metro Manila, Philippines.
Behzad NoubaryPhilippine Country Office, United Nations Children's Fund, Mandaluyong City, Metro Manila, Philippines.
Mueni MutungaEast Asia and Pacific Regional Office, United Nations Children's Fund, Pra Nakhon, Bangkok, Thailand.
Sanele NkomaniEast Asia and Pacific Regional Office, United Nations Children's Fund, Pra Nakhon, Bangkok, Thailand.
Roland KupkaEast Asia and Pacific Regional Office, United Nations Children's Fund, Pra Nakhon, Bangkok, Thailand.
Valerie Gilbert UlepResearch Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In resource-limited areas, where accurate weight-for-height Z-scores are hard to obtain, Mid-Upper Arm Circumference (MUAC) is a simple tool to identify wasted children. MUAC alone, however, may miss identification of many wasted children, leading to untimely intervention and potentially death. Our study aimed to identify the best-performing case definition to detect wasting by Weight-for-Height z-scores (WHZ) in Filipino children aged 6-59 months. We analyzed the 2018-2019 Expanded National Nutrition Survey to assess the diagnostic performance of MUAC cutoffs and a case definition combining MUAC and weight-for-age z-score (WAZ) in identifying moderate and severe wasting compared to the WHZ criterion. The optimal cutoff and case definition was identified as having the highest area under the receiver operating characteristic curve (AUROC). Our findings showed that the current MUAC cutoffs poorly identify severe (sensitivity: 13%; specificity: 99%; AUROC: 0.558) and moderate (sensitivity: 22%; specificity: 96%; AUROC: 0.586) wasting (N = 30,522) in Filipino children. Instead, the optimal MUAC cutoff for severe and moderate wasting were <13.6cm (sensitivity: 62%; specificity: 76%; AUROC: 0.690) and 14.0cm (sensitivity: 80%; specificity: 67%; AUROC: 0.737). There was no effect of sex on MUAC cutoffs, but cutoffs increased with age. We found that the combination of WAZ < -2 or MUAC ≤ 11.7cm (Sensitivity: 80%; Specificity: 80%; AUROC: 0.800) for severe wasting and WAZ < -2 or MUAC ≤ 12.7cm (Sensitivity: 84%; Specificity: 78%; AUROC: 0.810) for moderate wasting significantly improved sensitivity for acceptable decreases in specificity. In summary, implementing alternative case definitions solely based on expanding MUAC insufficiently improves diagnostic accuracy for identifying wasted children by WHZ criteria. Combining WAZ with MUAC could increase the number of eligible children identified and treated by the Philippine Integrated Management of Acute Malnutrition. Further studies are advised to understand the practicality and cost-effectiveness of using the proposed alternative case definitions in the Philippines.

Indexed as

ArmBody WeightWasting SyndromeAnthropometryChild, PreschoolFemaleHumansInfantMaleNutrition SurveysPhilippinesROC CurveSensitivity and Specificity

Identifiers

PMID39729452
PMCPMC11676897

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.