{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T12:39:01Z","timestamp":1777725541401,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Investigative Medicine"],"published-print":{"date-parts":[[2019,2]]},"abstract":"<jats:p>This study intended to present a practicable prognostic nomogram for patients with mantle cell lymphoma (MCL). The clinical data of 281 patients were reviewed. A nomogram that could predict overall survival (OS) was constructed based on the Cox proportional hazard model. To compare the capacity of the nomogram with the International Prognostic Index (IPI) and MCL International Prognostic Index (MIPI) scoring systems, we used the concordance index (C-index) to validate the veracity and the calibration curve. Age, Eastern Cooperation Oncology Group, lactate dehydrogenase, white cell count and Ki-67 were independent prognostic factors in the multivariate analysis and were subsequently included in the nomogram construction. The C-index was 0.81 and 0.79 in the primary and validation cohorts, respectively, which were superior to the predictive capacity of the IPI and MIPI systems in both cohorts. The nomogram makes it possible for physicians to predict patient OS individually and correctly, but certain limitations are noted.<\/jats:p>","DOI":"10.1136\/jim-2018-000837","type":"journal-article","created":{"date-parts":[[2018,9,26]],"date-time":"2018-09-26T00:45:12Z","timestamp":1537922712000},"page":"331-337","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Nomogram incorporating clinicopathological parameters to predict the survival of patients with mantle cell lymphoma"],"prefix":"10.1177","volume":"67","author":[{"given":"Yuandong","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxian","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Pathology, The First Affiliated Hospital of Soochow University, 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