Evidence map›Paper›PMID 41094462›Full record

ArticleBMC surgery2025

Risk factors of abdominal abscess after laparoscopic appendectomy.

Liyang Liu, Wenjun Feng, Kuanyong Yu, Chuanyang Cao, Guanghui Qiang

Abstract read
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

5 authors.

Liyang LiuDepartment of General Surgery, Nanjing Jiangbei Hospital, Nantong University Xinglin College, No. 552 Geguan Road, Liuhe District, Nanjing, 210048, Jiangsu, China.
Wenjun FengDepartment of General Surgery, Nanjing Jiangbei Hospital, Nantong University Xinglin College, No. 552 Geguan Road, Liuhe District, Nanjing, 210048, Jiangsu, China.
Kuanyong YuDepartment of General Surgery, Nanjing Jiangbei Hospital, Nantong University Xinglin College, No. 552 Geguan Road, Liuhe District, Nanjing, 210048, Jiangsu, China.
Chuanyang CaoDepartment of General Surgery, Nanjing Jiangbei Hospital, Nantong University Xinglin College, No. 552 Geguan Road, Liuhe District, Nanjing, 210048, Jiangsu, China.
Guanghui QiangDepartment of General Surgery, Nanjing Jiangbei Hospital, Nantong University Xinglin College, No. 552 Geguan Road, Liuhe District, Nanjing, 210048, Jiangsu, China. GuanghuiQiang716@163.com.

Funding

Nanjing Health Science and Technology Development Special Fund Project YKK24250
6 · The paper itself

Abstract

backgroundTo explore the risk factors of intra-abdominal abscess (IAA) after laparoscopic appendectomy (LA).

methodsA total of 839 patients who underwent LA in Nanjing Jiangbei Hospital from July 2021 to November 2024 were retrospectively analyzed, and their clinical data were collected. Through univariate and multivariate analysis, the risk factors affecting the formation of IAA after operation were screened, and the predictive efficacy was evaluated by ROC curve.

resultsAfter screening, there were 25 cases with IAA after operation, 741 cases were cured and 73 cases were excluded. Multivariate analysis showed that appendix perforation (OR = 4.763, 95%CI: 1.827 ~ 12.414, P = 0.001) and operative time (OR = 1.024, 95%CI: 1.002 ~ 1.046, P = 0.029) were related to the formation of IAA after operation. The area under ROC curve (AUC) of appendix perforation was 0.623, and the operative time was 0.683.

conclusionFor patients with LA, perforation of appendix and longer operative time are independent risk factors for the formation of IAA after operation, which can help predict whether IAA will occur after operation.

Indexed as

Abdominal AbscessAppendectomyAppendicitisLaparoscopyPostoperative ComplicationsAdolescentAdultFemaleHumansMaleMiddle AgedOperative TimeRetrospective StudiesRisk FactorsROC CurveYoung AdultAbdominal abscessLaparoscopic appendectomyRisk factor

Identifiers

PMID41094462
PMCPMC12523178

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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.