Tree-based model for thyroid cancer prognostication

Journal of Clinical Endocrinology and Metabolism

Volumn 99, Issue 10, 2014, Pages 3737-3745

  Banerjee, Mousumi ^a   Muenz, Daniel G ^a   Chang, Joanne T ^b   Papaleontiou, Maria ^a   Haymart, Megan R ^a  

^a UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

^b UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE; AGED; ARTICLE; CANCER EPIDEMIOLOGY; CANCER PROGNOSIS; CANCER REGISTRY; CANCER STAGING; CANCER SURVIVAL; DIFFERENTIATED THYROID CANCER; DISEASE SPECIFIC SURVIVAL; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MIDDLE AGED; OVERALL SURVIVAL; PROPORTIONAL HAZARDS MODEL; RANDOM SURVIVAL FOREST; STATISTICAL ANALYSIS; SURVIVAL TIME; SURVIVAL TREE ANALYSIS; THYROID CANCER; VERY ELDERLY; ADENOCARCINOMA; AGE DISTRIBUTION; CELL DIFFERENTIATION; DECISION TREE; EPIDEMIOLOGY; KAPLAN MEIER METHOD; MORTALITY; PAPILLARY CARCINOMA; PREVALENCE; PROGNOSIS; THYROID TUMOR; UNITED STATES;

ADENOCARCINOMA, FOLLICULAR; ADULT; AGE DISTRIBUTION; AGED; AGED, 80 AND OVER; CARCINOMA, PAPILLARY; CELL DIFFERENTIATION; DECISION TREES; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; MALE; MIDDLE AGED; PREVALENCE; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; SEER PROGRAM; THYROID NEOPLASMS; UNITED STATES;

EID: 84907638325     PISSN: 0021972X     EISSN: 19457197     Source Type: Journal    
DOI: 10.1210/jc.2014-2197     Document Type: Article

References (33)

1. Common cancer types. National Cancer Institute at the National Institutes of Health website. http://www.cancer.gov/cancertopics/types/commoncancers. Accessed July 6, 2014.
2. The American Cancer Society. Available at: www.cancer.org. Accessed July 2, 2014.
3. Hundahl SA, Fleming ID, Fremgen AM, Menck HR. A National Cancer Data Base report on 53, 856 cases of thyroid carcinoma treated in the U. S., 1985-1995 [see comments]. Cancer. 1998;83(12):2638-2648.
4. Jung TS, Kim TY, Kim KW, et al. Clinical features and prognostic factors for survival in patients with poorly differentiated thyroid carcinoma and comparison to the patients with the aggressive variants of papillary thyroid carcinoma. Endocr J. 2007;54(2):265-274.
5. Jonklaas J, Sarlis NJ, Litofsky D, et al. Outcomes of patients with differentiated thyroid carcinoma following initial therapy. Thyroid. 2006;16(12):1229-1242.
6. Haymart MR, Banerjee M, Stewart AK, Koenig RJ, Birkmeyer JD, Griggs JJ. Use of radioactive iodine for thyroid cancer. JAMA. 2011;306(7):721-728.
7. Haymart MR, Banerjee M, Yang D, et al. Variation in the management of thyroid cancer. J Clin Endocrinol Metab. 2013;98(5):2001-2008.
8. Haymart MR, Banerjee M, Yang D, Stewart AK, Koenig RJ, Griggs JJ. The role of clinicians in determining radioactive iodine use for low-risk thyroid cancer. Cancer. 2013;119(2):259-265.
9. Johnston LE, Tran Cao HS, Chang DC, Bouvet M. Sociodemographic predictors of survival in differentiated thyroid cancer: results from the SEER database. ISRN Endocrinol. 2012;2012:384707.
10. Jonklaas J, Nogueras-Gonzalez G, Munsell M, et al. The impact of age and gender on papillary thyroid cancer survival. J Clin Endocrinol Metab. 2012;97(6):E878-E887.
11. Oyer SL, Smith VA, Lentsch EJ. Sex isnotan independent risk factor for survival in differentiated thyroid cancer. Laryngoscope. 2013;123(11):2913-2919.
12. Nilubol N, Zhang L, Kebebew E. Multivariate analysis of the relationship between male sex, disease-specific survival, and features of tumor aggressiveness in thyroid cancer of follicular cell origin. Thyroid. 2013;23(6):695-702.
13. Surveillance, Epidemiology, and End Results Program. National Cancer Institute website. www.seer.cancer.gov. Accessed July 2, 2014.
14. American College of Surgeon Cancer Programs. American College of Surgeons website. http://www.facs.org/cancer/ncdb/. Accessed January 13, 2014.
15. Bilimoria KY, Stewart AK, Winchester DP, Ko CY. The National Cancer Data Base: a power ful initiative to improve cancer care in the United States. Ann Surg Oncol. 2008;15(3):683-690.
16. Banerjee M, George J, Song EY, Roy A, Hryniuk W. Tree-based model for breast cancer prognostication. J Clin Oncol. 2004;22(13):2567-2575.
17. Le Blanc M, Crowley J. Relative risk trees for censored survival data. Biometrics. 1992;48(2):411-425.
18. Banerjee M, Noone, AM. Tree-based methods for survival data. In: Biswas A, Datta S, Fine JP, Segal MR, ed. Statistical Advances in the Biomedical Sciences. Hoboken, NJ: Wiley; 2008:265-285.
19. Banerjee M, Ding Y, Noone AM. Identifying representative trees from ensembles. Stat Med. 2012;31(15):1601-1616.
20. Breiman L, Frieman JH, Olshen RA, Stone CJ. Classification and Regression Trees. Belmont, CA: Wadsworth; 1984.
21. Le Blanc M. Tree-based methods for prognostication stratification. In: Crowley J, ed. Handbook of Statistics in Clinical Oncology. New York, NY: Marcel Drekker; 2001:457-472.
22. Breiman L. Random forests. Machine Learning. 2001;45:5-32.
23. Ishwaran H, Kogalur UB, Blackstone EH, Lauer MS. Random survival forests. Ann Appl Statist. 2008;2:841-860.
24. Ishwaran H, Kogalur UB. Random Survival Forest. R Package [computer program]. Version 3.2.2. http://cran. r-project.org; 2008.
25. Therneau TM, Atkinson EJ. An Introduction to Recursive Partitioning Using the RPART Routines. http://cran. r-project.org/web/packages/rpart/vignettes/longintro.pdf. Accessed July 2, 2014.
26. Edge S, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, eds. AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer-Verlag; 2010.
27. Hay ID, Bergstralh EJ, Goellner JR, Ebersold JR, Grant CS. Predicting outcome in papillary thyroid carcinoma: development of a reliable prognostic scoring system in a cohort of 1779 patients surgically treated at one institution during 1940 through 1989. Surgery. 1993;114(6):1050-1057; discussion 1057-1058.
28. Verburg FA, Mäder U, Tanase K, et al. Life expectancy is reduced in differentiated thyroid cancer patients >45 years old with extensive local tumor invasion, lateral lymph node, or distant metastases at diagnosis and normal in all other DTC patients. J Clin Endocrinol Metab. 2013;98(1):172-180.
29. Yang L, Shen W, Sakamoto N. Population-based study evaluating and predicting the probability of death resulting from thyroid cancer and other causes among patients with thyroid cancer. J Clin Oncol. 2013;31(4):468-474.
30. Hsieh SH, Chen ST, Hsueh C, Chao TC, Lin JD. Gender-Specific Variation in the Prognosis of Papillary Thyroid Cancer TNM Stages II to IV. Int J Endocrinol. 2012;2012:379097.
31. Cady B, Sedgwick CE, Meissner WA, Wool MS, Salzman FA, Werber J. Risk factor analysis in differentiated thyroid cancer. Cancer. 1979;43(3):810-820.
32. Hoel DG, Ron E, Carter R, Mabuchi K. Influence of death certificate errors on cancer mortality trends. J Natl Cancer Inst. 1993;85(13):1063-1068.
33. Hollenbeak CS, Boltz MM, Schaefer EW, Saunders BD, Goldenberg D. Recurrence of differentiated thyroid cancer in the elderly. Eur J Endocrinol. 2013;168(4):549-556.