Evidence map›Paper›PMID 28660564›Full record

Trial reportJournal of clinical monitoring and computing2018

A smartphone application to determine body length for body weight estimation in children: a prospective clinical trial.

Oliver Wetzel, Alexander R Schmidt, Michelle Seiler, Davide Scaramuzza, Burkhardt Seifert, Donat R Spahn, Philipp Stein

Open access · greenAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Journal of clinical monitoring and computing, 2018. 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
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Oliver WetzelInstitute of Anaesthesiology, University and University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Alexander R SchmidtDepartment of Anaesthesiology, University Children's Hospital, Zurich, Switzerland.
Michelle SeilerPaediatric Emergency Department, University Children's Hospital, Zurich, Switzerland.
Davide ScaramuzzaRobotics and Perception Group, University of Zurich, Zurich, Switzerland.
Burkhardt SeifertDepartment of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Donat R SpahnInstitute of Anaesthesiology, University and University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Philipp SteinInstitute of Anaesthesiology, University and University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. Philipp.Stein@usz.ch.ORCID http://orcid.org/0000-0003-1480-0909
University Children's Hospital Zurich · CHUniversity Hospital of Zurich · CHUniversity of Zurich · CHZürich Airport (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to test the feasibility and accuracy of a smartphone application to measure the body length of children using the integrated camera and to evaluate the subsequent weight estimates. A prospective clinical trial of children aged 0-<13 years admitted to the emergency department of the University Children's Hospital Zurich. The primary outcome was to validate the length measurement by the smartphone application «Optisizer». The secondary outcome was to correlate the virtually calculated ordinal categories based on the length measured by the app to the categories based on the real length. The third and independent outcome was the comparison of the different weight estimations by physicians, nurses, parents and the app. For all 627 children, the Bland Altman analysis showed a bias of -0.1% (95% CI -0.3-0.2%) comparing real length and length measured by the app. Ordinal categories of real length were in excellent agreement with categories virtually calculated based upon app length (kappa = 0.83, 95% CI 0.79-0.86). Children's real weight was underestimated by physicians (-3.3, 95% CI -4.4 to -2.2%, p < 0.001), nurses (-2.6, 95% CI -3.8 to -1.5%, p < 0.001) and parents (-1.3, 95% CI -1.9 to -0.6%, p < 0.001) but overestimated by categories based upon app length (1.6, 95% CI 0.3-2.8%, p = 0.02) and categories based upon real length (2.3, 95% CI 1.1-3.5%, p < 0.001). Absolute weight differences were lowest, if estimated by the parents (5.4, 95% CI 4.9-5.9%, p < 0.001). This study showed the accuracy of length measurement of children by a smartphone application: body length determined by the smartphone application is in good agreement with the real patient length. Ordinal length categories derived from app-measured length are in excellent agreement with the ordinal length categories based upon the real patient length. The body weight estimations based upon length corresponded to known data and limitations. Precision of body weight estimations by paediatric physicians and nurses were comparable and not different to length based estimations. In this non-emergency setting, parental weight estimation was significantly better than all other means of estimation (paediatric physicians and nurses, length based estimations) in terms of precision and absolute difference.

Indexed as

Body HeightBody WeightMobile ApplicationsSmartphoneAlgorithmsChildChild, PreschoolEmergency Service, HospitalFemaleHospitals, PediatricHumansInfantInfant, NewbornMaleMonitoring, PhysiologicObserver VariationBody weight estimationsEmergency rulerPaediatric emergencySmartphone application

Identifiers

PMID28660564
OpenAlexW2731310799

What OpenQuestion holds

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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.