Evidence map›Paper›PMID 39385135›Full record

ArticleBMC surgery2024

Association between body composition and incisional surgical site infection after laparoscopic appendectomy for complicated appendicitis.

Peng Yin, Shigang Teng, Haifeng Li, Junping Wang, Zhongcheng Liu

Abstract read
In one paragraph

Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Laparoscopic Appendectomy Is Superior in Patients with Higher Fat Thickness.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Article
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.

Peng YinDepartment of Gastrointestinal Surgery, Jiaozhou Central Hospital of Qingdao, No. 99 Yunxihe South Road, Jiaozhou, Shandong Province, 266300, China.
Shigang TengDepartment of Gastrointestinal Surgery, Jiaozhou Central Hospital of Qingdao, No. 99 Yunxihe South Road, Jiaozhou, Shandong Province, 266300, China.
Haifeng LiDepartment of Gastrointestinal Surgery, Jiaozhou Central Hospital of Qingdao, No. 99 Yunxihe South Road, Jiaozhou, Shandong Province, 266300, China.
Junping WangDepartment of Radiology, Jiaozhou Central Hospital of Qingdao, Qingdao, Shandong Province, China.
Zhongcheng LiuDepartment of Gastrointestinal Surgery, Jiaozhou Central Hospital of Qingdao, No. 99 Yunxihe South Road, Jiaozhou, Shandong Province, 266300, China. ltt910523@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurgical site infection (SSI) is common after laparoscopic appendectomy, resulting in prolonged hospital stay and increased costs. This study examined the relationship between body composition parameters and risk of incisional SSI in patients with complicated appendicitis.

methodsWe included 411 patients who underwent laparoscopic surgery for complicated appendicitis at a single institution between March 2015 and October 2023. Body composition parameters were derived from preoperative computed tomography (CT). A nomogram was constructed based on the independent predictors of incisional SSI.

resultsOverall, 45 (10.9%) patients developed incisional SSI. Visceral fat area (VFA) was independently associated with risk of incisional SSI (hazard ratio 1.015, 95% confidence interval 1.010-1.020, P < 0.001). A nomogram integrating VFA and two other independent predictors (diabetes and conversion) demonstrated high discriminative (area under the curve = 0.793) and calibration abilities.

conclusionsCT-derived VFA could be a valuable predictor of incisional SSI in patients with complicated appendicitis undergoing laparoscopic surgery. A VFA-based nomogram may help in identifying patients at high risk of SSI.

Indexed as

AppendectomyAppendicitisBody CompositionLaparoscopySurgical Wound InfectionTomography, X-Ray ComputedAdultFemaleHumansIntra-Abdominal FatMaleMiddle AgedNomogramsRetrospective StudiesRisk FactorsAppendicitisBody compositionLaparoscopyPredictive modelSurgical site infection

Identifiers

PMID39385135
PMCPMC11462668

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.