Literature DB >> 32551272

Nomogram Identifies Age as the Most Important Predictor of Overall Survival in Oral Cavity Squamous Cell Cancer After Primary Surgery.

Supriya Gupta1, Jennifer Waller2, Jimmy Brown2, Yolanda Elam2, James V Rawson3, Darko Pucar4.   

Abstract

Our goal was to determine the most important predictors and construct a nomogram for overall survival (OS) in oral cavity squamous cell cancer (OCSCC) treated with primary surgery followed by observation, adjuvant radiation or chemoradiation. Multivariable analysis was performed using Cox Proportional Hazard model of 9258 OCSCC patients from Surveillance, Epidemiology and End Results Program (SEER) database treated with surgery from 2003 to 2009. Potential predictors of OS were age, gender, race, tobacco use, oral cancer sub-sites, pathologic tumor stage and grade, pathologic nodal stage, extra-capsular invasion, clinical levels IV and V involvement, and adjuvant treatment selection. Weighted propensity scores for treatment were used to balance observed baseline characteristics between three treatment groups in order to reduce bias. Following primary surgery, patients underwent observation (56%), radiation alone (31%) or chemoradiation (13%). All tested predictors were statistically significant and included in our final nomogram. Most important predictor of OS was age, followed by pathologic tumor stage. SEER based-survival nomogram for OCSCC patients differs from published models derived from patients treated in a single or few academic treatment centers. An unexpected finding of patient age being the best OS predictor suggests that this factor may be more critical for the outcome than previously anticipated. © Association of Otolaryngologists of India 2019.

Entities:  

Keywords:  Age; Nomogram; Oral cavity; Squamous cell cancer; Survival

Year:  2019        PMID: 32551272      PMCID: PMC7276464          DOI: 10.1007/s12070-019-01726-7

Source DB:  PubMed          Journal:  Indian J Otolaryngol Head Neck Surg        ISSN: 2231-3796


  29 in total

1.  Nomograms. Introduction.

Authors:  Michael W Kattan
Journal:  Semin Urol Oncol       Date:  2002-05

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Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

3.  Prediction of survival in patients with head and neck cancer.

Authors:  R J Baatenburg de Jong; J Hermans; J Molenaar; J J Briaire; S le Cessie
Journal:  Head Neck       Date:  2001-09       Impact factor: 3.147

4.  Predicting nonsentinel node status after positive sentinel lymph biopsy for breast cancer: clinicians versus nomogram.

Authors:  Michelle C Specht; Michael W Kattan; Mithat Gonen; Jane Fey; Kimberly J Van Zee
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5.  Symptoms as an index of biologic behavior in head and neck cancer.

Authors:  F A Pugliano; J F Piccirillo; M R Zequeira; J M Fredrickson; C A Perez; J R Simpson
Journal:  Otolaryngol Head Neck Surg       Date:  1999-03       Impact factor: 3.497

6.  Postoperative nomogram for disease-specific survival after an R0 resection for gastric carcinoma.

Authors:  Michael W Kattan; Martin S Karpeh; Madhu Mazumdar; Murray F Brennan
Journal:  J Clin Oncol       Date:  2003-10-01       Impact factor: 44.544

7.  The New Era of Informed Consent: Getting to a Reasonable-Patient Standard Through Shared Decision Making.

Authors:  Erica S Spatz; Harlan M Krumholz; Benjamin W Moulton
Journal:  JAMA       Date:  2016-05-17       Impact factor: 56.272

8.  A computer based program to assist in adjuvant therapy decisions for individual breast cancer patients.

Authors:  P M Ravdin
Journal:  Bull Cancer       Date:  1995-12       Impact factor: 1.276

9.  Precisely defining high-risk operable head and neck tumors based on RTOG #85-03 and #88-24: targets for postoperative radiochemotherapy?

Authors:  J S Cooper; T F Pajak; A Forastiere; J Jacobs; K K Fu; K K Ang; G E Laramore; M Al-Sarraf
Journal:  Head Neck       Date:  1998-10       Impact factor: 3.147

10.  A computer program to assist in making breast cancer adjuvant therapy decisions.

Authors:  P M Ravdin
Journal:  Semin Oncol       Date:  1996-02       Impact factor: 4.929

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