Evidence map›Paper›PMID 42271427›Full record

ArticleJournal of cardiothoracic surgery2026

Development and validation of a predictive model for postoperative complications in thymoma patients.

Zhendong Lu, Fangchao Liu, Dongjie Yan, Jinghui Wang, Teng Ma, Hongyun Ruan

Abstract readValidation Study
In one paragraph

Article in Journal of cardiothoracic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhendong Lu *Department of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China.
Fangchao Liu *Department of Science and Technology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China.
Dongjie YanDepartment of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China.
Jinghui WangDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China. jinghuiwang2006@163.com.
Teng MaDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China. mateng82913@163.com.
Hongyun RuanDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9, Bei guan Street, Tong Zhou District, 101149, Beijing, P. R. China. 13661154466@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate an intervention model for the risk factors of postoperative complications in patients with thymoma.

methodsA retrospective analysis was conducted on the clinical data of patients who underwent thymoma resection surgery at our hospital between June 2006 and July 2024. Postoperative complications were systematically categorized according to the Clavien-Dindo classification (Grade II-V), including but not limited to: ① 30-day mortality, ② respiratory failure (defined as mechanical ventilation > 48 h or unplanned reintubation), ③ myocardial injury (troponin elevation > 5×ULN).Whether complications occurred was divided into two groups. The data were randomly divided into a modeling cohort (70%) and a validation cohort (30%). Logistic regression was used to identify risk factors for postoperative complications, and model performance was evaluated using ROC curves and calibration plots.

resultsA total of 26.1% (66/253) of thymoma patients developed postoperative complications. Multivariable logistic regression analysis revealed that Masaoka-Koga stage, Myasthenia Gravis, intraoperative blood loss, forced expiratory volume in 1 second, and albumin were significant predictors in the model. The model demonstrated an area under the ROC curve of 0.84 (95% CI: 0.78-0.91) in the modeling cohort and 0.76 (95% CI: 0.63-0.89) in the validation cohort. The Hosmer-Lemeshow goodness-of-fit test showed: modeling cohort (χ2 = 5.0997, P = 0.6478), validation cohort (χ2 = 4.9946, P = 0.7582). Decision curve analysis indicated that the risk thresholds for the modeling and validation cohorts were 10%-70% and 10%-60%.

conclusionThis study developed a risk prediction model for postoperative complications in thymoma patients, demonstrating strong discriminative ability (C-statistic 0.82, 95% CI 0.78-0.86) and calibration (Brier score 0.11) upon internal validation. The model may aid in identifying high-risk patients for targeted preventive measures, though its impact on actual complication rates requires prospective intervention trials.

Indexed as

Postoperative ComplicationsThymectomyThymomaThymus NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsIntervention modelNomogramPostoperative ComplicationsSurgical ResectionThymoma

Identifiers

PMID42271427
PMCPMC13480247

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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.