Evidence map›Paper›PMID 37008417›Full record

ArticleJournal of nutritional science2023

Identification of anthropometric surrogate measurements and their cut-off points for the detection of low birth weight and premature newborn babies using ROC Analysis.

Eskedar Sintayehu, Yitagesu Sintayehu, Abdu Oumer, Anteneh Berhane

Abstract read
In one paragraph

Article in Journal of nutritional science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

4 authors.

Eskedar SintayehuDepartment of Public Health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.
Yitagesu SintayehuDepartment of Midwifery, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.
Abdu OumerDepartment of Public Health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.
Anteneh BerhaneDepartment of Public Health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.ORCID 0000-0001-5078-8703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the fact that health facilities in Ethiopia are being built closer to communities in all regions, the proportion of home deliveries remains high, and there are no studies being conducted to identify low birth weight (LBW) and premature newborn babies using simple, best, alternative, and appropriate anthropometric measurement in the study area. The objective of the present study was to find the simple, best, and alternative anthropometric measurement and identified its cut-off points for detecting LBW and premature newborn babies. A health facility-based cross-sectional study was conducted in the Dire Dawa city administration, Eastern Ethiopia. The study included 385 women who gave birth in health facility. To evaluate the overall accuracy of the anthropometric measurements, a non-parametric receiver operating characteristic curve was used. Chest circumference (AUC = 0⋅95) with 29⋅4 cm and mean upper arm circumference (AUC = 0⋅93) with 7⋅9 cm proved to be the best anthropometric diagnostic measure for LBW and gestational age, respectively. Also, both anthropometric measuring tools are achieved the highest correlation (

Indexed as

Infant, Low Birth WeightAnthropometryCross-Sectional StudiesFemaleHumansInfantInfant, NewbornPredictive Value of TestsROC CurveAnthropometric measurementAUC, area under curveBW, birth weightCC, chest circumferenceCI, confidence intervalDHS, Demographic and Health SurveyDOR, diagnostic odds ratioEMDHS, Ethiopia Mini Demographic and Health SurveyFL, foot lengthGA, gestational ageHC, head circumferenceLBWLBW, low birth weightMUAC, mid-upper arm circumferenceNICU, neonatal intensive care unitNon-parametricNPV, negative predictive valuePPV, positive predictive valueROC analysisROC, receiver operating characteristicsWHO, World Health Organization

Identifiers

PMID37008417
PMCPMC10052390

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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.