Evidence map›Paper›PMID 34933983›Full record

ArticleGlobal health, science and practice2021

Accuracy of Using Mid-Upper Arm Circumference to Detect Wasting Among Children Aged 6-59 Months in Nepal.

Krishna Prasad Lamsal, Kedar Raj Parajuli, Bhim Kumari Pun, Ramesh Prasad Adhikari, Manoj Bashyal, Baburaja Dangol, Kenda Cunningham

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 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

7 authors at 2 institutions in 2 countries.

Krishna Prasad LamsalNutritionist, Kathmandu, Nepal. lamsal.kp@gmail.com.
Kedar Raj ParajuliNutrition Section, Ministry of Health and Population, Government of Nepal, Kathmandu, Nepal.
Bhim Kumari PunHelen Keller International, Kathmandu, Nepal.
Ramesh Prasad AdhikariHelen Keller International, Kathmandu, Nepal.
Manoj BashyalNepali Technical Assistance Group (NTAG), Kathmandu, Nepal.
Baburaja DangolNewEra, Kathmandu, Nepal.
Kenda CunninghamHelen Keller International, Kathmandu, Nepal.
Helen Keller International Nepal · NPHimalayan Rescue Association · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn countries with a high prevalence of undernutrition, timely, accurate screening at the community level is essential to identify children with wasting. The World Health Organization recommends using either weight-for-height z-scores (WHZ) and mid-upper arm circumference (MUAC) or both measures and signs of edema to be used to identify children with severe acute malnutrition for treatment. We compared WHZ and MUAC cutoffs to identify wasting among children aged 6-59 months in Nepal, using WHZ as the reference standard.

methodsWe used cross-sectional anthropometric data for 3,169 children aged 6-59 months from a 2017 cross-sectional dataset, representative of 42 of Nepal's 77 districts. We used descriptive statistics, receiver operating characteristic (ROC) curves, and kappa statistics to compare the use of MUAC and WHZ to identify wasting. The Youden index was calculated to determine the optimum MUAC cutoffs.

resultsThe prevalence of wasting was 3.1% and 10.5% using MUAC and WHZ, respectively. We found 13.6% sensitivity for severe acute malnutrition (SAM) (MUAC <115 mm) and 21.0% sensitivity for moderate acute malnutrition (MAM) (MUAC ≥115 to <125 mm), with specificity of 99.7% and 91.2%, respectively. The sensitivity of MUAC for children aged 6-23 months was higher than for children aged 24-59 months. The total area of the ROC curve was 0.53 for the MUAC cutoff for SAM and 0.56 for MAM. The optimum MUAC cutoffs for SAM and MAM were 125 mm and 132 mm, respectively.

conclusionsAlthough MUAC can be used as a rapid screening tool to detect wasting in children aged 6-59 months, using the recommended MUAC cutoffs captures only a small proportion of the total number of wasted children. The poor sensitivity and specificity of MUAC compared to WHZ suggests a need to refine admission and discharge criteria for acute malnutrition management programs to ensure that wasting among infants and children in Nepal is consistently and accurately diagnosed and treated.

Indexed as

ArmBody HeightBody WeightChildChild, PreschoolCross-Sectional StudiesHumansInfantNepal

Identifiers

PMID34933983
PMCPMC8691868
OpenAlexW4200427914

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LicenceCC BY
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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.