Evidence map›Paper›PMID 40330996›Full record

ArticleThe archives of bone and joint surgery2025

Risk Factors and Outcomes Associated with Emergency Abdominal Surgery following Lower Extremity Total Joint Arthroplasty.

Annie Lu, Senthil Sambandam, Marc Gadda, Terrul Ratcliff, Sergio Huerta

Abstract read
In one paragraph

Article in The archives of bone and joint surgery, 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

5 authors.

Annie Lu
Senthil Sambandam
Marc Gadda
Terrul Ratcliff
Sergio Huerta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to identify potential risk factors and assess postoperative outcomes associated with requiring emergency abdominal surgery (EAS) within 30 days following total hip arthroplasty (THA) and total knee arthroplasty (TKA). We hypothesized that patients requiring EAS would carry a higher morbidity and mortality rates compared to patients that underwent the index operation alone. Methods: We conducted a retrospective analysis using TriNetX, examining data from 2016-2024 from patients over 18 years old who underwent THA/TKA and required EAS within 30 days. Postoperative outcomes, including mortality and hospital readmission, were compared between patients requiring EAS and those who did not. Statistical analyses included measures of association and chi-squared tests. Patient demographic data, including age, sex, and comorbidities were analyzed. Results: Patients requiring EAS within 30 days of a joint arthroplasty were significantly more likely to be older, overweight or obese, and to be diagnosed with comorbidities including diverticular disease, cholelithiasis, alcohol use disorders, and tobacco use. These patients had significantly higher mortality rates within 60 days of joint arthroplasty compared to patients without EAS, suggesting that the second operation contributed significantly to the increase in adverse outcomes. Conclusion: This study emphasizes the importance of recognizing key risk factors for severe GI complications that require EAS. These findings highlight the need for careful patient selection, pre-operative evaluation of risk, and vigilant post-operative management, especially in those with many risk factors. Improved identification and management of high-risk patients may help reduce the likelihood of EAS and its associated mortality.

Indexed as

ArthroplastyEmergency abdominal surgeryMortalityRisk factors

Identifiers

PMID40330996
PMCPMC12050082

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.