Evidence map›Paper›PMID 39832101›Full record

ArticleCJEM2025

Busier emergency departments: same triage systems-can AI solve the "next-to-be-seen" problem?

Jessalyn K Holodinsky, Lisa Sabir, Andrew D McRae, Suzanne M Mason

Abstract readEditorial
PubMed Publisher
In one paragraph

Article in CJEM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jessalyn K Holodinsky *Departments of Emergency Medicine, Community Health Sciences, and Clinical Neurosciences, Centre for Health Informatics, O'Brien Institute for Public Health, Hotchkiss Brain Institute, Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Lisa Sabir *Emergency Department, Sheffield Children's Hospital NHS Trust, Western Bank, Sheffield, United Kingdom.
Andrew D McRae *Departments of Emergency Medicine and Community Health Sciences, O'Brien Institute for Public Health, Libin Cardiovascular Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. amcrae@ucalgary.ca.
Suzanne M Mason *Centre for Urgent and Emergency Care Research (CURE) Group, Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceEmergency department triageMachine learningOperational research

Identifiers

PMID39832101

What OpenQuestion holds

Textmetadata
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.