Evidence map›Paper›PMID 41746334›Full record

ArticleJournal of anesthesia2026

Postoperative pulmonary complications following major emergency abdominal surgery: incidence, risk factors, and outcomes-an observational study.

Andreas Werner Nærum, Dunja Kokotovic, Jakob Burcharth

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Article in Journal of anesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andreas Werner NærumEmergency Surgery Research Group (EMERGE) Copenhagen, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark. andreas.werner.naerum@regionh.dk.ORCID http://orcid.org/0000-0002-7388-640X
Dunja KokotovicEmergency Surgery Research Group (EMERGE) Copenhagen, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.ORCID http://orcid.org/0000-0003-1544-8927
Jakob BurcharthEmergency Surgery Research Group (EMERGE) Copenhagen, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.ORCID http://orcid.org/0000-0001-8367-7831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite advancements in surgical patient care, postoperative pulmonary complications (PPCs) following emergency abdominal surgery remain common and are linked to increased morbidity, mortality, and healthcare costs. This study aims to identify the incidence and risk factors of PPCs following major emergency abdominal surgery.

methodsThis is a single-center observational study including patients undergoing major emergency abdominal surgery between January 1, 2021, and December 31, 2023, collecting pre-, intra-, and postoperative variables. The primary outcome was the occurrence of PPCs, and the secondary outcomes were risk factors for PPCs and 30-day mortality rates following PPCs. Multivariable logistic regression was used to identify perioperative risk factors associated with PPCs. The same analysis was used on a subgroup of patients with 'severe' PPCs.

resultsOf 1080 patients included in the study, 431 (39.9%) had at least one PPC, and 150 (13.9%) had at least one 'severe' PPC. Multivariable logistic regression identified several risk factors for developing PPCs: an increased ARISCAT score, a history of pulmonary disease, hypertension, a history of cerebral disease, increased Clinical Frailty Scale, preoperative admission to the intensive care unit, a CDC grade IV contaminated wound, intraoperative findings of perforated stomach or duodenal ulcer, need for subsequent reoperations, and protracted postoperative ileus. Patients with PPCs had a 30-day mortality rate of 21.0%, while those with 'severe' PPCs had a 30-day mortality rate of 46.3%.

conclusionSeveral independent risk factors, beyond those already established, were associated with an increased risk of PPCs.

Indexed as

Abdominal surgeryEmergency surgeryMortalityPostoperative pulmonary complicationsRisk factors

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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.