Evidence map›Paper›PMID 40568617›Full record

ArticleMayo Clinic proceedings. Digital health2025

InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm.

Carl A Starvaggi, Sophie Affentranger, Noelie Lengeler, Johan N Siebert, Annick Galetto-Lacour, Rainer Tan, Manon Jaboyedoff, Claudia E Kuehni, Mary-Anne Hartley, Kristina Keitel

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2025. 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

10 authors.

Carl A StarvaggiDivision of Pediatric Emergency Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.
Sophie AffentrangerDivision of Pediatric Emergency Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.
Noelie LengelerDivision of Pediatric Emergency Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.
Johan N SiebertDepartment of Pediatric Emergency Medicine, Geneva Children's Hospital, Geneva, University Hospitals, Geneva, Switzerland.
Annick Galetto-LacourDepartment of Pediatric Emergency Medicine, Geneva Children's Hospital, Geneva, University Hospitals, Geneva, Switzerland.
Rainer TanUnisanté, Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Manon JaboyedoffPediatric Infectious Diseases and Vaccinology Unit, Service of Pediatrics, Department Women-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Claudia E KuehniDivision of Pediatric Respiratory Medicine and Allergology, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.
Mary-Anne HartleyLaboratory for intelligent Global Health and Humanitarian Response Technologies (LiGHT), Yale School of Medicine, Department of Biomedical Informatics and Data Science, New Haven, CT.
Kristina KeitelDivision of Pediatric Emergency Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To prospectively validate InfoKids+, a pediatric acuity electronic risk stratification algorithm (eRSA), against a nurse-based triage standard (nbTS). Participants and Methods: We conducted a prospective validation study in a Swiss university hospital pediatric emergency department to assess the performance of a pediatric acuity eRSA, InfoKids+, on the basis of a well-established parental guidance application, InfoKids. Participants completed the eRSA once seated in a consultation booth. We compared the acuity levels from InfoKids+ (urgent, <4 hours; nonurgent, <24 hours; and no emergency, ≥24 hours) against an nbTS. The primary outcome was the level of agreement and rate of alignment between InfoKids+ and the reference standard. Results: We included 1990 participants from June 3, 2020, through January 31, 2022. InfoKids+ showed a slight level of agreement with the nbTS (κ Conclusion: In summary, our study uncovered notable discrepancies between the InfoKids+ algorithmic triage and conventional nurse-based triage. Our results highlight the critical need for rigorous validation of such tools for accuracy and safety before public release to ensure these tools are beneficial and do not inadvertently cause harm or misallocation of resources.

Identifiers

PMID40568617
PMCPMC12190946

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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.