Evidence map›Paper›PMID 36245004›Full record

ArticleWorld journal of surgery2023

Postoperative Complications and Outcome After Emergency Laparotomy: A Retrospective Study.

Aura T Ylimartimo, Juho Nurkkala, Marjo Koskela, Sanna Lahtinen, Timo Kaakinen, Merja Vakkala, Siiri Hietanen, Janne Liisanantti

Open access · hybridAbstract read
In one paragraph

Article in World journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Patterns of patient worry following major emergency abdominal surgery: a 180-day follow-up study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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  8. Emphysematous gastritis: The silent storm within the stomach wall.The Journal of international medical research · 2025
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  12. Observational
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  19. Development and internal validation of a clinical prediction model for serious complications after emergency laparotomy.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
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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

8 authors at 1 institution in 1 country.

Aura T YlimartimoResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland. aura.ylimartimo@ppshp.fi.ORCID 0000-0002-9735-175X
Juho Nurkkala *Research Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Marjo Koskela *Research Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Sanna LahtinenResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Timo KaakinenResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Merja VakkalaResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Siiri HietanenResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Janne LiisananttiResearch Group of Surgery, Anesthesiology and Intensive Care Medicine, Medical Research Center of Oulu, Oulu, Finland.
Oulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency laparotomy (EL) is a common urgent surgical procedure with high risk for postoperative complications. Complications impair the prognosis and prolong the hospital stay. This study explored the incidence and distribution of complications and their impact on short-term mortality after EL.

methodsThis was a retrospective single-center register-based cohort study of 674 adults undergoing midline EL between May 2015 and December 2017. The primary outcome was operation-related or medical complication after EL. The secondary outcome was mortality in 90-day follow-up. Multivariate logistic regression analyses were used to identify independent risk factors for complications.

resultsA total of 389 (58%) patients developed complications after EL, including 215 (32%) patients with operation-related complications and 361 (54%) patients with medical complications. Most of the complications were Clavien-Dindo classification type 4b (28%) and type 2 (22%). Operation-related complications occurred later compared to medical complications. Respiratory complications were the most common medical complications, and infections were the most common operation-related complications. The 30- and 90-day mortalities were higher in both the medical (17.2%, 26.2%) and operation-related complication groups (13.5%, 24.2%) compared to patients without complications (10.5% and 4.8%, 14.8% and 8.0%). Low albumin, high surgical urgency, excessive alcohol consumption and medical complications were associated with operation-related complications. Older age, high ASA class and operation-related complications were associated with medical complications.

conclusionsThis study demonstrated that EL is associated with a high risk of complications and poor short-term outcome. Complications impair the prognosis regardless of which kind of EL is in question.

Indexed as

Postoperative ComplicationsCohort StudiesHumansRetrospective Studies

Identifiers

PMID36245004
PMCPMC9726776
OpenAlexW4306361582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.