Evidence map›Paper›PMID 42029726›Full record

ArticleLangenbeck's archives of surgery2026

Early identification of emergency abdominal surgery candidates in the emergency department - a Delphi study.

Dorte Melgaard, Jakob F Jørgensen, Thomas Stilling-Vinther, Anne Lund Krarup, Mathias Håkon Madsen, Luit Penninga

Abstract read
In one paragraph

Article in Langenbeck's archives of surgery, 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

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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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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

6 authors.

Dorte MelgaardDepartment of Emergency Medicine and Trauma Centre, EMRUn, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark. dmk@rn.dk.
Jakob F JørgensenDepartment of Emergency Medicine and Trauma Centre, EMRUn, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark.
Thomas Stilling-VintherDepartment of Emergency Medicine and Trauma Centre, EMRUn, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark.
Anne Lund KrarupDepartment of Emergency Medicine and Trauma Centre, EMRUn, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark.
Mathias Håkon MadsenDepartment of Emergency Medicine and Trauma Centre, EMRUn, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark.
Luit PenningaDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute high-risk abdominal (AHA) surgery is associated with considerable morbidity and mortality. In the emergency department (ED), early identification of patients requiring AHA surgery remains challenging and is often based on non-standardized clinical judgment. This study aimed to identify clinical indicators that may support the timely recognition of patients in need of emergency abdominal surgery.

methodsA modified Delphi study was conducted to achieve expert consensus on early clinical indicators of AHA surgery. Two Delphi rounds were performed. In round one, experienced surgeons and emergency clinicians rated 30 predefined indicators as insignificant, less important, important, or very important. Consensus was defined as ≥ 75% of participants rating an indicator as important or very important. In round two, participants were asked to rank the importance of the indicators rated as “important” or “very important” in round one.

resultsA total of 87 surgeons and emergency physicians participated in round one, with 62 (71%) completing round two. Consensus was reached for 11 indicators considered important for identifying AHA patients on arrival in the ED, e.g. acute pain onset within minutes, VAS pain score 6–10, repeated vomiting, and absence of bowel movement within 24 h. In round two, clinicians ranked these indicators; however, no clear consensus emerged regarding their relative prioritisation.

conclusionThis Delphi study identified 11 clinically relevant indicators for the early identification of patients requiring AHA surgery in the ED. The study underscores the complexity of early recognition and supports the need for structured, data-informed screening tools to aid clinical decision-making.

Indexed as

Emergency Service, HospitalAcute Care SurgeryConsensusDelphi TechniqueEarly DiagnosisEmergenciesFemaleHumansMaleAHABowel ischemiaIndicatorsPerforationPeritonitis

Identifiers

PMID42029726
PMCPMC13249740

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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.