Evidence map›Paper›PMID 32299403›Full record

ArticleBMC public health2020

Do we need to reconsider the CMAM admission and discharge criteria?; an analysis of CMAM data in South Sudan.

Eunyong Ahn, Cyprian Ouma, Mesfin Loha, Asrat Dibaba, Wendy Dyment, Jaekwang Kim, Nam Seon Beck, Taesung Park

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

8 authors at 2 institutions in 2 countries.

Eunyong AhnKorea Basic Science Institute, Seoul, Korea.
Cyprian OumaWorld Food Programme, Regional Bureau-Nairobi, Nairobi, Kenya.
Mesfin LohaEast Africa Regional Office, World Vision, Nairobi, Kenya.
Asrat DibabaEast Africa Regional Office, World Vision, Nairobi, Kenya.
Wendy DymentMedair, Ecublens, Ecublens, Switzerland.
Jaekwang KimDepartment of Statistics, Iowa State University, Ames, USA.
Nam Seon BeckMedair, Ecublens, Ecublens, Switzerland. namseon.beck@medair.org.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul, Korea. tspark@stats.snu.ac.kr.
Seoul National University · KRIowa State University · US

Funding

Ministry of Education, Science and Technology 2012R1A3A2026438Ministry of Science, ICT and Future Planning 2013M3A9C4078158
6 · The paper itself

Abstract

backgroundWeight-for-height Z-score (WHZ) and Mid Upper Arm Circumference (MUAC) are both commonly used as acute malnutrition screening criteria. However, there exists disparity between the groups identified as malnourished by them. Thus, here we aim to investigate the clinical features and linkage with chronicity of the acute malnutrition cases identified by either WHZ or MUAC. Besides, there exists evidence indicating that fat restoration is disproportionately rapid compared to that of muscle gain in hospitalized malnourished children but related research at community level is lacking. In this study we suggest proxy measure to inspect body composition restoration responding to malnutrition management among the malnourished children.

methodsThe data of this study is from World Vision South Sudan's emergency nutrition program from 2006 to 2012 (4443 children) and the nutrition survey conducted in 2014 (3367 children). The study investigated clinical presentations of each type of severe acute malnutrition (SAM) by WHZ (SAM-WHZ) or MUAC (SAM-MUAC), and analysed correlation between each malnutrition and chronic malnutrition. Furthermore, we explored the pattern of body composition restoration during the recovery phase by comparing the relative velocity of MUAC

resultsAs acutely malnourished children identified by MUAC more often share clinical features related to chronic malnutrition and minimal overlapping with malnourished children by WHZ, Therefore, MUAC only screening in the nutrition program would result in delayed identification of the malnourished children.

conclusionsThe relative velocity of MUAC

Indexed as

Body WeightNutritional StatusAnthropometryBody CompositionBody SizeChildChild Nutrition DisordersChild, PreschoolFemaleHospitalizationHumansInfantMaleNutrition SurveysSevere Acute MalnutritionSouth SudanMid upper arm circumferences (MUAC)Severe acute malnutrition (SAM)

Identifiers

PMID32299403
PMCPMC7164168
OpenAlexW3016716309

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.