{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T09:14:43Z","timestamp":1761902083410,"version":"build-2065373602"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T00:00:00Z","timestamp":1761868800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T00:00:00Z","timestamp":1761868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Jiangxi Province Key Laboratory of Molecular Medicine","award":["2024SSY06231"],"award-info":[{"award-number":["2024SSY06231"]}]},{"name":"Jiangxi Province Key Research and Development Project","award":["20243BBI91024"],"award-info":[{"award-number":["20243BBI91024"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World J Surg Onc"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aimed to investigate the impact of primary tumor resection (PTR) on survival outcomes for patients with metastatic non-small cell neuroendocrine tumors (mNSCLC-NETs), develop a predictive model to identify which patients may benefit from surgery in terms of survival.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We extracted information on mNSCLC-NET patients from the SEER database. Propensity score matching was used to eliminate bias between surgery and non-surgery groups. The effect of PTR on prognosis was assessed via Kaplan\u2012Meier analysis with the log-rank test and the Cox proportional hazards model. Feature selection was performed via the Boruta algorithm. Model building utilized fivefold cross-validation and applied five machine learning algorithms. The optimal model was selected and used to construct a visual network nomogram.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among the 1,776 eligible patients, 12.61% underwent surgery. After PSM, the surgery group showed significantly longer median overall survival (mOS) (26\u00a0months vs. 11\u00a0months) compared to the non-surgery group. Among the five machine learning models, logistic regression had the highest AUC of 0.760 on the validation set. Therefore, we used a logistic regression model to construct a nomogram. This tool identified beneficiary and non-beneficiary groups, with the former having a longer mOS (30\u00a0months vs. 10\u00a0months).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Overall, PTR in mNSCLC-NETs could prolong patients survival, and the web-based nomogram can predict patients who may benefit from surgery. This tool may aid clinicians in patient counseling and personalized decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12957-025-04063-y","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T09:07:22Z","timestamp":1761901642000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Primary tumor resection: a new hope or an old illusion for patients with metastatic non-small cell lung neuroendocrine tumors?"],"prefix":"10.1186","volume":"23","author":[{"given":"Hongquan","family":"Xing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weichang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanshan","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linmin","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guofeng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqun","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,31]]},"reference":[{"key":"4063_CR1","doi-asserted-by":"publisher","first-page":"101061","DOI":"10.1016\/j.currproblcancer.2024.101061","volume":"49","author":"M Rutherford","year":"2024","unstructured":"Rutherford M, Wheless M, Thomas K, Ramirez RA. 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The study did not require informed consent from the SEER registered cases, and the authors obtained Limited-Use Data Agreements from SEER.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"411"}}