Evidence map›Paper›PMID 38328319›Full record

ArticleWorld journal of gastrointestinal surgery2024

Estimation of Physiologic Ability and Surgical Stress scoring system for predicting complications following abdominal surgery: A meta-analysis spanning 2004 to 2022.

Tian-Shu Pang, Li-Ping Cao

Abstract read
In one paragraph

Article in World journal of gastrointestinal surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tian-Shu PangDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Li-Ping CaoDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China. caolipingzju@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative complications remain a paramount concern for surgeons and healthcare practitioners.

aimTo present a comprehensive analysis of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system's efficacy in predicting postoperative complications following abdominal surgery.

methodsA systematic search of published studies was conducted, yielding 17 studies with pertinent data. Parameters such as preoperative risk score (PRS), surgical stress score (SSS), comprehensive risk score (CRS), postoperative complications, postoperative mortality, and other clinical data were collected for meta-analysis. Forest plots were employed for continuous and binary variables, with

resultsPatients experiencing complications after abdominal surgery exhibited significantly higher E-PASS scores compared to those without complications [mean difference and 95% confidence interval (CI) of PRS: 0.10 (0.05-0.15); SSS: 0.04 (0.001-0.08); CRS: 0.19 (0.07-0.31)]. Following the exclusion of low-quality studies, results remained valid with no discernible heterogeneity. Subgroup analysis indicated that variations in sample size and age may contribute to heterogeneity in CRS analysis. Binary variable meta-analysis demonstrated a correlation between high CRS and increased postoperative complication rates [odds ratio (OR) (95%CI): 3.01 (1.83-4.95)], with a significant association observed between high CRS and postoperative mortality [OR (95%CI): 15.49 (3.75-64.01)].

conclusionIn summary, postoperative complications in abdominal surgery, as assessed by the E-PASS scoring system, are consistently linked to elevated PRS, SSS, and CRS scores. High CRS scores emerge as risk factors for heightened morbidity and mortality. This study establishes the accuracy of the E-PASS scoring system in predicting postoperative morbidity and mortality in abdominal surgery, underscoring its potential for widespread adoption in effective risk assessment.

Indexed as

ComplicationsComprehensive risk scoreEstimation of Physiologic Ability and Surgical Stress scoring systemPreoperative risk scoreSurgical stress score

Identifiers

PMID38328319
PMCPMC10845291

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