Evidence map›Paper›PMID 31969129›Full record

ArticleBMC pediatrics2020

Validation and human factor analysis study of an infant weight estimation device.

Susan M Abdel-Rahman, Ian M Paul, Paula Delmore, Jia-Yuh Chen, Mary Mills, Rachel G Greenberg, Best Pharmaceuticals for Children Act – Pediatric Trials Network

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2020. 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
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Pediatric Pharmacotherapy: Why the Fundamentals (Still) Matter.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    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

7 authors at 4 institutions in 1 country.

Susan M Abdel-RahmanChildren's Mercy, University of Missouri Kansas City-School of Medicine, Kansas City, MO, USA. srahman@cmh.edu.ORCID 0000-0002-5815-2029
Ian M PaulPenn State College of Medicine, Hershey, PA, USA.
Paula DelmoreWesley Medical Center, Wichita, KS, USA.
Jia-Yuh ChenThe Emmes Corporation, Rockville, MD, USA.
Mary MillsDuke Clinical Research Institute, Durham, NC, USA.
Rachel G GreenbergDuke Clinical Research Institute, Durham, NC, USA.
Best Pharmaceuticals for Children Act – Pediatric Trials Network
Clinical Research Institute · USWesley Medical Center · USChildren's Mercy Hospital · USUniversity of Missouri–Kansas City · US

Funding

National Institute of Child Health and Human Development HHSN2752010000031NICHD NIH HHS HHSN275201000001GNICHD NIH HHS HHSN275201000001ZNICHD NIH HHS HHSN275201000003CNICHD NIH HHS HHSN275201000003I
6 · The paper itself

Abstract

backgroundWeight is critical for the medical management of infants; however, scales can be unavailable or inaccessible in some practice settings. We recently developed and validated a robust infant weight estimation method based on chest circumference (CC) and head circumference (HC). This study was designed to determine the human factors (HF) experience with, and predictive performance of, an infant weight estimation device that implements this method.

methodsProspective, multi-center, observational, masked study of 486 preterm and term infants (0-90 days) assessed by 15 raters. Raters measured the infant using calibrated scales/measures and masked versions of the device. Raters also evaluated critical tasks associated with device use. Mean error (ME) and mean percentage error (MPE) were used to assess predictive performance.

resultAmong 486 infants enrolled (36.8 ± 4.0 weeks gestational age, 31.5 ± 28.6 days postnatal age), predicted weight correlated highly with actual weight (r = 0.97, ME: - 69 ± 257 g, MPE: - 1.3 ± 6.9%). Predicted weight was within 10 and 15% of actual weight in 86 and 99%, of infants. HF errors were low, 0.1-0.8% depending on task. In all cases raters were confident or very confident in their measurements.

conclusionThe device was statistically equivalent to the method on which it was based and approximated weight with acceptable variance from the true weight. HF data suggest the device is easy to use. This device can be used to estimate weight in infants when calibrated scales are impractical or unavailable.

Indexed as

Prospective StudiesAdolescentAdultBody WeightCephalometryChildChild, PreschoolFactor Analysis, StatisticalGestational AgeHumansInfantInfant, NewbornMiddle AgedYoung AdultChest circumferenceFull-termHead circumferencePreterm

Identifiers

PMID31969129
PMCPMC6977278
OpenAlexW3007180345

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.