ArticleAnnals of thoracic surgery short reports2026
A Multifactorial Model to Predict the Surgical Complexity of Lung Resection After Neoadjuvant Chemoimmunotherapy.
Article in Annals of thoracic surgery short reports, 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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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.
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1 citing paper in PubMed.
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Authors and funding
11 authors.
Funding
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Abstract
Background: This study aims to develop an predictive model for surgical complexity after neoadjuvant chemoimmunotherapy. Methods: This is real clinical practice study of consecutive patients undergoing surgery after neoadjuvant nivolumab and chemotherapy for locally advanced lung cancer (April 23, 2023 through December 24, 2024). Surgical complexity was graded by the operating surgeon using a 4-dimension published score. An operation was defined as complex if at least 1 of the dimensions scored severely more complex than a standard lobectomy. Logistic regression analysis was used to test the association of several patient- and tumor-related factors with the presence of a complex procedure. The model was constructed by proportionally weighing the regression coefficients. Results: The analysis included 65 patients. The most frequent procedure was lobectomy (86%), of which 28 cases (43%) were classified as complex. Complex procedures were longer (median 228 minutes vs 180 minutes; Conclusions: The proposed model can assist to efficiently planning lung cancer surgery in the neoadjuvant setting and for patient counseling.
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