ArticleJournal of investigative medicine : the official publication of the American Federation for Clinical Research2019
Nomogram incorporating clinicopathological parameters to predict the survival of patients with mantle cell lymphoma.
Article in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Clinical significance of Cyclin D1 by complete quantification detection in mantle cell lymphoma: positive indicator in prognosis.Diagnostic pathology · 2024Article
- Ferroptosis-related prognostic model of mantle cell lymphoma.Open medicine (Warsaw, Poland) · 2024Article
- Development and External Validation of a Nomogram to Predict Cancer-Specific Survival in Patients with Primary Intestinal Non-Hodgkin Lymphomas.Cancer management and research · 2021Article
- Prognostic Nomogram and Predictive Factors in Refractory or Relapsed Diffuse Large B-Cell Lymphoma Patients Failing Front-Line R-CHOP Regimens.Journal of Cancer · 2020Article
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Authors and funding
4 authors.
Funding
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Abstract
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.
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