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Development and validation of a nomogram for predicting overall survival of head and neck adenoid cystic carcinoma. | LitMetric

AI Article Synopsis

  • - The study developed and validated a nomogram—a personalized treatment tool—for adenoid cystic carcinoma of the head and neck using data from 1,069 patients diagnosed between 2004 and 2015 in the SEER database.
  • - Key factors like age, tumor site, and TNM stages were identified as significant predictors of patient outcomes through advanced statistical analyses.
  • - The nomogram outperformed traditional TNM staging in predicting survival, helping to categorize patients into high-risk and low-risk groups for more tailored treatment plans.

Article Abstract

This study aimed to develop and validate a nomogram using clinical variables to guide personalized treatment strategies for adenoid cystic carcinoma of the head and neck (ACCHN). Data from 1069 patients with ACCHN diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were used to construct the nomogram. External validation was performed using an independent cohort of 70 patients from Fujian Cancer Hospital. Multivariate Cox regression analysis was conducted using IBM SPSS version 26.0 and R Software version 4.2.3. The concordance index (C-index) and receiver operating characteristic (ROC) curves were used to assess the predictive accuracy of the nomogram. Age, tumor site, surgery, N stage, M stage, and TNM stage were identified as independent prognostic factors through univariate and multivariate Cox analyses. The nomogram demonstrated superior predictive performance compared to the TNM staging system, effectively stratifying patients into high-risk and low-risk groups. This nomogram offers a valuable tool for predicting overall survival in patients with ACCHN and tailoring individualized treatment approaches.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531573PMC
http://dx.doi.org/10.1038/s41598-024-77322-9DOI Listing

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