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SYSTEMATIC REVIEW article

Front. Oncol.
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1419633

Risk prediction model for postoperative pneumonia in esophageal cancer patients:A systematic review

Provisionally accepted
Yaxin JIANG Yaxin JIANG 1Zimeng Li Zimeng Li 1Weiting Jiang Weiting Jiang 1Wei Tingyu Wei Tingyu 1Bizhen Chen Bizhen Chen 2*
  • 1 Fujian University of Traditional Chinese Medicine, Fuzhou, China
  • 2 The Second Affiliated Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China

The final, formatted version of the article will be published soon.

    Background Numerous studies have developed or validated prediction models to estimate the likelihood of postoperative pneumonia (POP) in esophageal cancer (EC) patients. The quality of these models and the evaluation of their applicability to clinical practice and future research remains unknown. This study systematically evaluated the risk of bias and applicability of risk prediction models for developing POP in patients undergoing esophageal cancer surgery. Methods PubMed, Embase, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), WanFang Database and Chinese Biomedical Literature Database were searched from inception to March 12, 2024. Two investigators independently screened the literature and extracted data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was employed to evaluate both the risk of bias and applicability. Result A total of 14 studies involving 23 models were included. These studies were mainly published between 2014 and 2023. The applicability of all studies was good. However, all studies exhibited a high risk of bias, primarily attributed to inappropriate data sources, insufficient sample size, irrational treatment of variables and missing data, and lack of model validation. The incidence of POP in patients undergoing oesophageal cancer surgery ranged from 14.60% to 39.26%. The most frequently used predictors were smoking, age, chronic obstructive pulmonary disease(COPD), diabetes mellitus, and methods of thoracotomy. Inter-model discrimination ranged from 0.627 to 0.850, sensitivity ranged between 60.7% and 84.0%, and specificity ranged from 59.1% to 83.9%. Conclusion In all included studies, good discrimination was reported for risk prediction models for POP in patients undergoing oesophageal cancer surgery, indicating stable model performance. However, according to the PROBAST checklist, all studies had a high risk o

    Keywords: Postoperative pneumonia, esophageal cancer, Prediction model, System review, lung infection

    Received: 18 Apr 2024; Accepted: 18 Jul 2024.

    Copyright: © 2024 JIANG, Li, Jiang, Tingyu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bizhen Chen, The Second Affiliated Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350003, Fujian Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.