Evidence map›Paper›PMID 40984834›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2025

Development and validation of a nomogram-based model for predicting postoperative pulmonary complications after coronary artery bypass grafting with cardiopulmonary bypass.

Ying Ji, Jingjing Liu, Tao Shan, Ruoyu Jia, Hong-Guang Bao, Hong-Yu Wang, Jing Hu, Yan Shen, Qian Zhao, Yongjun Li

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Article in Indian journal of thoracic and cardiovascular 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.

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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ying JiDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Jingjing LiuDepartment of Anesthesiology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 211800 China.
Tao ShanDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Ruoyu JiaNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002 China.
Hong-Guang BaoDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Hong-Yu WangDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Jing HuDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Yan ShenDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Qian ZhaoDepartment of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Yongjun LiDepartment of Anesthesiology, Lianshui County People's Hospital, Huaian, Jiangsu 223405 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patients undergoing coronary artery bypass grafting (CABG) with cardiopulmonary bypass (CPB) are at high risk of developing postoperative pulmonary complications (PPCs). This study aimed to develop and validate a clinical prediction model for these complications after CABG. Methods: In total, 849 patients were randomly divided into training ( Results: Five predictive indicators were selected: age, smoking history, diabetes mellitus, emergent surgery, and anesthesia duration. The model demonstrated excellent predictive performance, with an AUC of 0.902 (0.859-0.945) for the training set and 0.864 (0.811-0.917) for the validation set. Calibration curve results showed non-significant Conclusion: An original nomogram accurately predicted PPCs after CABG with CPB, which enables clinicians to rapidly assess PPC risk for individual patients without complex calculations, providing objective, quantitative evidence for preoperative risk evaluation, informed consent discussions, and perioperative management. Graphical Abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s12055-025-02011-9.

Indexed as

Cardiopulmonary bypassCoronary artery bypass graftingNomogramPostoperative pulmonary complicationsPredictionRisk factors

Identifiers

PMID40984834
PMCPMC12450204

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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.