Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
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Estimation of Hazard Function and its Associated Factors in Gastric Cancer Patients using Wavelet and Kernel Smoothing Methods

  • Ahmadi, Azadeh (Department of Mathematics and Statistics, Hospital Management Research Center, Tehran University of Medical Sciences) ;
  • Roudbari, Masoud (Department of Mathematics and Statistics, Hospital Management Research Center, Tehran University of Medical Sciences) ;
  • Gohari, Mahmood Reza (School of Health Management and Information Sciences, Hospital Management Research Center, Tehran University of Medical Sciences) ;
  • Hosseini, Bistoon (University of Applied Science and Technology)
  • Published : 2012.11.30
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Abstract

Background and Objectives: Increase of mortality rates of gastric cancer in Iran and the world in recent years reveal necessity of studies on this disease. Here, hazard function for gastric cancer patients was estimated using Wavelet and Kernel methods and some related factors were assessed. Materials and Methods: Ninety-five gastric cancer patients in Fayazbakhsh Hospital between 1996 and 2003 were studied. The effects of age of patients, gender, stage of disease and treatment method on patient's lifetime were assessed. For data analyses, survival analyses using Wavelet method and Log-rank test in R software were used. Results: Nearly 25.3% of patients were female. Fourteen percent had surgery treatment and the rest had treatment without surgery. Three fourths died and the rest were censored. Almost 9.5% of patients were in early stages of the disease, 53.7% in locally advance stage and 36.8% in metastatic stage. Hazard function estimation with the wavelet method showed significant difference for stages of disease (P<0.001) and did not reveal any significant difference for age, gender and treatment method. Conclusion: Only stage of disease had effects on hazard and most patients were diagnosed in late stages of disease, which is possibly one of the most reasons for high hazard rate and low survival. Therefore, it seems to be necessary a public education about symptoms of disease by media and regular tests and screening for early diagnosis.

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References

  1. Antoniadis A (1989). A penalty method for nonparametric estimation of the intensity of a counting process. Ann Inst Math Statist, 41, 781-807. https://doi.org/10.1007/BF00057741
  2. Antoniadis A, Gregoire G, Nason G (1999). Density and hazard rate estimation for right-censored data by using wavelet methods. J R Statist Soc B, 61.
  3. Arveux P, Faivre J, Boutron MC, et al (1992). Prognosis of gastric carcinoma after curative surgery. A population-based study using multivariate crude and relative survival analysis. Dig Dis Sci, 37, 757-63. https://doi.org/10.1007/BF01296435
  4. Bako G, Ferenczi L, Hanson J, Hill GH, Dewar R (1985). Factors influencing the survival of patients with cancer of the stomach. Clin Invest Med, 8, 158-64.
  5. Barchielli A, Amorosi A, Balzi D, Crocetti E, Nesi G (2001). Long-term prognosis of gastric cancer in a European country: a population-based study in Florence. 10-year survival of cases diagnosed in 1985-1987. Eur J Cancer, 37, 1674-80. https://doi.org/10.1016/S0959-8049(01)00179-4
  6. Biglarian A, Hajizadeh E, Kazemnejad A, Zali MR (2009). Survival analysis of gastric cancer patients using Cox model: a five years study. Tehran University Med J, 67, 317-25.
  7. Boring CC, Squires TS, Tong T, Montgomery S (1994). Cancer statistics. CA Cancer J Clin, 44, 7-26. https://doi.org/10.3322/canjclin.44.1.7
  8. Bucchi L, Nanni O, Ravaioli A, et al (2004). Cancer mortality in a cohort of male agricultural workers from northern Italy. J Occup Environ Med, 46, 249-56. https://doi.org/10.1097/01.jom.0000116804.10496.fc
  9. Curtis RE, Kennedy BJ, Myers MH, Hankey BF (1985). Evaluation of AJC stomach cancer staging using the SEER population. Semin Oncol, 12, 21-31.
  10. Damhuis RA, Tilanus HW (1995). The influence of age on resection rates and postoperative mortality in 2773 patients with gastric cancer. Eur J Cancer, 31, 928-31. https://doi.org/10.1016/0959-8049(95)00075-5
  11. Enzinger PC, Mayer RJ (2004). Gastrointestinal cancer in older patients. Semin Oncol, 31, 206-19. https://doi.org/10.1053/j.seminoncol.2003.12.031
  12. Haugstvedt TK, Viste A, Eide GE, Soreide O (1993). Norwegian multicentre study of survival and prognostic factors in patients undergoing curative resection for gastric carcinoma. The norwegian stomach cancer trial. Br J Surg, 80, 475-8. https://doi.org/10.1002/bjs.1800800423
  13. Joossens JV, Geboers J (1981). Nutrition and gastric cancer. Nutr Cancer, 2, 250-61. https://doi.org/10.1080/01635588109513691
  14. Jonasson L, Hallgrimsson J, Sigvaldason H, Olafsdottir G, Tulinius H (1994). Gastric cancer in Iceland: a retrospective study of resected gastric specimens in a high-risk country during 30 years (1960-1989). Int J Cancer, 57, 793-8. https://doi.org/10.1002/ijc.2910570606
  15. Khedmat H, Panahian M, Amini M, et al (2007). Survival rate of stomach cancer among patients hospitalized in Baghiatollah hospital. Teb Nezami, 9, 167-77.
  16. Klein JP, Moeschberger ML (2003). Survival analysis, techniques for censored and truncated data. 2nd ed. New York: Springer-Verlag.
  17. Kooperberg C, Stone CJ (1992). Log-spline density estimation for censored data. J Comput Graph Statist, 1, 301-28.
  18. Leung W, Ng E, Sung J (2003). Tumors of the Stomach. In: Yammada T, eds. Textbook of Gastroenterology: Lippincott Williams &Wilkins,1416-31.
  19. Liu JF, Wang QZ, Hou J (2004). Surgical treatment for cancer of the esophagus and gastric cardio in Hebei, China. Br J Surg, 91, 90-8. https://doi.org/10.1002/bjs.4402
  20. Matley PJ, Dent DM, Madden MV, Price SK (1988). Gastric carcinoma in young adults. Ann Surg, 208, 593-6. https://doi.org/10.1097/00000658-198811000-00008
  21. Maehara Y, Oshiro T, Oiwa H, et al (1995). Gastric carcinoma in patients over 70 years of age. Br J Surg, 82, 102-5. https://doi.org/10.1002/bjs.1800820134
  22. Mitsudomi T, Matsusaka T, Wakasugi K, et al (1989). A clinicopathological study of gastric cancer with special reference to age of the patients; an analysis of 1630 cases. World J Surg, 13, 225-31. https://doi.org/10.1007/BF01658407
  23. Msika S, Benhamiche AM, Rat P, Faivre J (2000). Long-term prognosis of gastric cancer in the population of Cote-d'Or. Gastroenterol Clin Biol, 24, 649-55.
  24. Nason GP (2008). Wavelet Methods in Statistics with R. New York: Springer.
  25. O'Sullivan F (1988). Fast computation of fully automated log-density and log-hazard estimators. SIAM J Sci Statist Comput, 9, 363-79. https://doi.org/10.1137/0909024
  26. Parkin DM, Pisani P, Ferlay J (1999). Global cancer statistics. CA Cancer J Clin, 49, 33-64. https://doi.org/10.3322/canjclin.49.1.33
  27. Pisani P, Parkin DM, Bray F, Ferlay J (1999). Estimates of the worldwide mortality from 25 cancers in 1990. Int J Cancer, 83, 18-29. https://doi.org/10.1002/(SICI)1097-0215(19990924)83:1<18::AID-IJC5>3.0.CO;2-M
  28. Roshanaei G, Kazemnejad A, Sedighi S (2010). Postoperative survival estimation of gastric cancer patients in cancer institute of tehran, imam khomeini hospital and its relative factors. Hamadan University Med J, 17, 13-8.
  29. Saidi RF, Bell JL, Dudrick PS (2004). Surgical resection for gastric cancer in elderly patients: is there a difference in outcome? J Surg Res, 118, 15-20. https://doi.org/10.1016/S0022-4804(03)00353-6
  30. Sigon R, Canzonieri V, Rossi C (2003). Early gastric cancer: a single institution experience on 60 cases. Suppl Tumori, 2, 23-6.
  31. Tian J, Wang XD, Chen ZC (2004). Survival of patients with stomach cancer in Changle city of China. World J Gastroenterol, 10, 1543-6. https://doi.org/10.3748/wjg.v10.i11.1543
  32. Thong-Ngam D, Tangkijvanich P, Mahachai V, Kullavanijaya P (2001). Current status of gastric cancer in Thai patients. J Med Assoc Thai, 84, 475-82.