Multifactorial analysis of survival in thyroid cancer: Pitfalls of applying the results of published studies to another population
- 15 October 1986
- Vol. 58 (8) , 1749-1755
- https://doi.org/10.1002/1097-0142(19861015)58:8<1749::aid-cncr2820580828>3.0.co;2-q
Abstract
Multifactorial analyses (MFAs) of survival data of thyroid carcinoma patients have already been published by the European Organization for Research and Treatment of Cancer EORTC, the Institut Curie (IC), and the Institut Gustave Roussy (IGR). The aim of this study was to find out if the results obtained in these MFAs could be applied to a new population of 480 patients. To determine this, three MFAs were carried out on the new population. Each of these MFAs is based on exactly the same methodology as one of the three reference studies. Using the EORTC methodology, five significant factors were retained: age, principal cell type, anaplastic, T‐category, and metastatic sites (The significant factors in the EORTC study also included the sex factor, which was not significant for the current study). Using their own prognostic index instead of the EORTC index, gave the authors a better classification of the patients and better survival prediction. Using the IC methodology, four significant factors were retained: age, histology, T‐category, and metastatic sites (the significant factors in the IC study were age, histology and sex). Using the IGR methodology, two significant factors were retained: age and N‐category (the significant factors in the IGR study also included sex and histology). The authors' results differ from those published by the previous groups. Therefore, one should hesitate before applying the results obtained by other groups for thyroid carcinoma to another population. It would seem necessary to carry out one's own MFA before determining a prognostic index.This publication has 10 references indexed in Scilit:
- Long-term results and prognostic factors in patients with differentiated thyroid carcinomaCancer, 1985
- Multivariate analysis of factors associated with outcome of treatment for adults with acute myelogenous leukemiaCancer, 1984
- Multiplicative Models and Cohort AnalysisJournal of the American Statistical Association, 1983
- MULTIVARIATE-ANALYSIS OF PROGNOSTIC VARIABLES IN PATIENTS WITH METASTATIC TESTICULAR CANCER1983
- A Comparison of Prognostic Factors and Surgical Results in 1,786 Patients with Localized (Stage I) Melanoma Treated in Alabama, USA, and New South Wales, AustraliaAnnals of Surgery, 1982
- A prognostic index for thyroid carcinoma. A study of the E.O.R.T.C. thyroid cancer cooperative groupPublished by Elsevier ,1979
- The Efficiency of Cox's Likelihood Function for Censored DataJournal of the American Statistical Association, 1977
- Proportional Hazard Regression Models and the Analysis of Censored Survival DataJournal of the Royal Statistical Society Series C: Applied Statistics, 1977
- Discrimination Between the Log-Normal and the Weibull DistributionsTechnometrics, 1973
- Regression Models and Life-TablesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1972