Evidence map›Paper›PMID 30151732›Full record

ArticleAnnals of biomedical engineering2019

Limitations of Weight Velocity Analysis by Commercial Computer Program Growth Analyser Viewer Edition.

Martin J C van Gemert, Cornelis M A Bruijninckx, Ton G van Leeuwen, H A Martino Neumann, Pieter J J Sauer

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

5 authors.

Martin J C van GemertDepartment of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. m.j.vangemert@amc.uva.nl.
Cornelis M A BruijninckxSurgery Expert Witness, Rotterdam, The Netherlands.
Ton G van LeeuwenDepartment of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
H A Martino NeumannDepartment of Dermatology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Pieter J J SauerDepartment of Pediatrics, University Medical Center, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commercial software package "Growth Analyser Viewer Edition" ("GAVE") aims to document, monitor and analyze growth and development in children and adolescents. Although its clinical and scientific use is widespread, there are no published studies that describe the method and its validation. We were informed that GAVE calculates the weight velocity (kg/year) at age t from the weight difference between t and 448 days earlier or at birth, divided by the time difference. We recently discussed a case of false child abuse diagnosis (Pediatric Condition Falsification), resulting in the separation of the child from its parents, in which GAVE played a negative contributing role. To prevent such inappropriate diagnoses, we analyzed GAVE from a schematic representation of the measured clinical weight curve, with precisely defined weight velocities. In conclusion, the 448 days included for weight velocity predictions by GAVE caused the erroneous outcomes. Until the necessary changes to the software are implemented and validated, we advise against the use of GAVE in infants younger than 1.5 years, if multiple weight changes occur within 448 days, and following a long-lasting weight velocity change. Our analysis suggests to discard all medical software packages that lack public description and proof of validation.

Indexed as

Adolescent DevelopmentBody WeightChild AbuseChild DevelopmentSoftwareAdolescentChildChild, PreschoolFemaleHumansInfantMaleAnalysis of weight growth from weight curvesModel simulationsStandard weight curveWeight gain of infantsWeight velocity patterns

Identifiers

PMID30151732
PMCPMC6315011

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