{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T04:10:59Z","timestamp":1790655059161,"version":"4.1.0"},"reference-count":35,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T00:00:00Z","timestamp":1771545600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T00:00:00Z","timestamp":1771545600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100018543","name":"Natural Science Foundation of Tibet Autonomous Region","doi-asserted-by":"publisher","award":["XZ2023ZR\u2010ZY40 (Z)"],"award-info":[{"award-number":["XZ2023ZR\u2010ZY40 (Z)"]}],"id":[{"id":"10.13039\/501100018543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272691"],"award-info":[{"award-number":["82272691"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>A comprehensive preoperative assessment of the patient's physical condition is crucial for predicting the prognosis of patients undergoing radical cholecystectomy for gallbladder cancer (GBC). This study aimed to develop a prognostic model integrating preoperative hematological parameters and clinical information to predict postoperative survival in patients with GBC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Patients who underwent radical cholecystectomy for GBC between 2000 and 2024 at Xinhua Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, and Shigatse People's Hospital were included in this study. Data on demographic features, clinical parameters, laboratory results, and clinical outcomes were collected. Univariate and multivariate Cox regression analyses, time\u2010dependent ROC curve analysis, and the least absolute shrinkage and selection operator (LASSO) regression were used to identify the key factors for model development. Various machine learning models were constructed based on these findings. Internal validation assessed model stability, while clinical decision analysis evaluated its practical utility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 184 patients were included, with a mean age of 67\u2009years. Key predictors identified through univariate and multivariate Cox regression, time\u2010dependent ROC, and LASSO analyses were the lymphocyte\u2010to\u2010C\u2010reactive protein ratio (LCR) and tumor\u2010node\u2010metastasis (TNM) staging. The best\u2010performing model was logistic regression, with the following area under the curve (AUC) values: for the training set, 0.785 at 1\u2009year, 0.853 at 2\u2009years, and 0.873 at 3\u2009years; and for the test set, 0.800 at 1\u2009year, 0.870 at 2\u2009years, and 0.872 at 3\u2009years. Clinical decision analysis confirmed the model's clinical applicability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The machine learning model incorporating LCR and TNM staging is a robust tool for predicting postoperative survival following radical resection for GBC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.71646","type":"journal-article","created":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T01:16:18Z","timestamp":1771636578000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning\u2013Driven Prognostic Model Integrating Lymphocyte\u2010to\u2010C\u2010Reactive Protein Ratio and\n                    <scp>TNM<\/scp>\n                    Staging in Gallbladder Cancer"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6794-8380","authenticated-orcid":false,"given":"Mingyang","family":"Wang","sequence":"first","affiliation":[{"name":"Department of General Surgery Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"Shanghai Key Laboratory of Biliary Tract Disease Research  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of General Surgery Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"Shanghai Key Laboratory of Biliary Tract Disease Research  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fusheng","family":"E","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Shigatse People's Hospital  Shigatse China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of General Surgery Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"Shanghai Key Laboratory of Biliary Tract Disease Research  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runfa","family":"Bao","sequence":"additional","affiliation":[{"name":"Department of General Surgery Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"Shanghai Key Laboratory of Biliary Tract Disease Research  Shanghai China"},{"name":"Department of General Surgery, Shigatse People's Hospital  Shigatse 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