Evidence map›Paper›PMID 32028276›Full record

ArticlePhysiological measurement2020

Estimating birth weight from observed postnatal weights in a Guatemalan highland community.

Camilo E Valderrama, Faezeh Marzbanrad, Michel Juarez, Rachel Hall-Clifford, Peter Rohloff, Gari D Clifford

Abstract read
In one paragraph

Article in Physiological measurement, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

6 authors.

Camilo E ValderramaDepartment of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.
Faezeh MarzbanradDepartment of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia.ORCID 0000-0003-0551-1611
Michel JuarezWuqu' Kawoq-Maya Health Alliance, Santiago Sacatepéquez, Guatemala.
Rachel Hall-CliffordCenter for the Study of Human Health and Department of Sociology, Emory University, Atlanta, GA, United States of America.
Peter RohloffWuqu' Kawoq-Maya Health Alliance, Santiago Sacatepéquez, Guatemala.
Gari D CliffordDepartment of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.

Funding

Mobile Health Intervention to Improve Perinatal Continuum of Care in GuatemalaR21HD084114 · NICHD · EMORY UNIVERSITY · PI CLIFFORD, GARI DAVID · 2015 to 2016
$374k
NICHD NIH HHS R21 HD084114
6 · The paper itself

Abstract

objectiveLow birth weight is one of the leading contributors to global perinatal deaths. Detecting this problem close to birth enables the initiation of early intervention, thus reducing the long-term impact on the fetus. However, in low-and middle-income countries, sometimes newborns are weighted days or months after birth, thus challenging the identification of low birth weight. This study aims to estimate birth weight from observed postnatal weights recorded in a Guatemalan highland community. APPROACH: With 918 newborns recorded in postpartum visits at a Guatemalan highland community, we fitted traditional infant weight models (Count's and Reeds models). The model that fitted the observed data best was selected based on typical newborn weight patterns reported in the medical literature and previous longitudinal studies. Then, estimated birth weights were determined using the weight gain percentage derived from the fitted weight curve. MAIN

resultsThe best model for both genders was the Reeds2 model, with a mean square error of 0.30 kg SIGNIFICANCE: By estimating birth weight at an opportune time, several days after birth, it may be possible to identify low birth weight more accurately, thus providing timely treatment when is required.

Indexed as

Birth WeightDatabases, FactualFemaleGuatemalaHumansInfantInfant, NewbornMaleModels, StatisticalRural Population

Identifiers

PMID32028276
PMCPMC7126327

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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.