Evidence map›Paper›PMID 41914210›Full record

ArticleEmergency medicine Australasia : EMA2026

Time to Analgesia Provision for Abdominal Pain Presentations in the Emergency Department: The Effect of Biological Sex-A Retrospective Cohort Study.

Lisa Walker, Hannah Pennicott, Chris J Selman, Elyssia M Bourke

Abstract read
In one paragraph

Article in Emergency medicine Australasia : EMA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Lisa WalkerEmergency Department, Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID 0009-0008-1768-3561
Hannah PennicottEmergency Department, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Chris J SelmanDepartment of Critical Care, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-1277-5538
Elyssia M BourkeEmergency Department, Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID 0000-0001-5617-0955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAbdominal pain is a common emergency department (ED) presentation. Currently, there is limited Australian literature detailing whether biological sex results in differences in analgesia provision for abdominal pain. The primary aim of this study is to determine whether there is a difference in time to analgesia administration based on biological sex for patients presenting with abdominal pain to the ED.

methodsThis was a retrospective, single centre cohort study of adult patients presenting to the Royal Melbourne Hospital ED between April 1st and 30th 2024 with abdominal pain. Data relating to the patient's presentation and management were collected from records of eligible patients.

resultsOf 708 eligible patients, 292 (41%) were biologically male and 416 (59%) female. There were 559 (80%) patients who received at least one dose of analgesia. Females waited a median of 75 min and males 59 min to receive their first dose of analgesia (difference in medians = 16 min, 95% confidence interval [CI] 0.9-31.0 min, p = 0.04). Females were also nearly half as likely to receive parenteral analgesia (OR 0.56, 95% CI 0.38-0.82, p = 0.003). We found minimal differences in diagnoses, triage category or pain scores between sexes.

conclusionFemales presenting to the ED with abdominal pain are waiting longer than males to receive their first dose of analgesia and are less likely to receive parenteral analgesia. Further research is required to determine the reason for this discrepancy and to then remediate it.

Indexed as

Abdominal PainAnalgesiaAnalgesicsTime-to-TreatmentAdultAgedCohort StudiesEmergency Room VisitsEmergency Service, HospitalFemaleHumansMaleMiddle AgedRetrospective StudiesSex FactorsTime FactorsAnalgesicsemergency medicinegenderinequitypain management

Identifiers

PMID41914210
PMCPMC13036702

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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.