DOI QR코드

DOI QR Code

Calculation of Life-Time Death Probability due Malignant Tumors Based on a Sampling Survey Area in China

  • Yuan, Ping (Fujian Center for Disease Control and Prevention) ;
  • Chen, Tie-Hui (Fujian Center for Disease Control and Prevention) ;
  • Chen, Zhong-Wu (Department of Tumor Interventional Treatment, the First Affiliated Hospital of Fujian Medical University) ;
  • Lin, Xiu-Quan (Fujian Center for Disease Control and Prevention)
  • Published : 2014.05.30

Abstract

Purpose: To calculate the probability of one person's life-time death caused by a malignant tumor and provide theoretical basis for cancer prevention. Materials and Methods: The probability of one person's death caused by a tumor was calculated by a probability additive formula and based on an abridged life table. All data for age-specific mortality were from the third retrospective investigation of death cause in China. Results: The probability of one person's death caused by malignant tumor was 18.7% calculated by the probability additive formula. On the same way, the life-time death probability caused by lung cancer, gastric cancer, liver cancer, esophageal cancer, colorectal and anal cancer were 4.47%, 3.62%, 3.25%, 2.25%, 1.11%, respectively. Conclusions: Malignant tumor is still the main cause of death in one's life time and the most common causes of cancer death were lung, gastric, liver, esophageal, colorectal and anal cancers. Targeted forms of cancer prevention and treatment strategies should be worked out to improve people's health and prolong life in China. The probability additive formula is a more scientific and objective method to calculate the probability of one person's life-time death than cumulative death probability.

Keywords

References

  1. Andersen PK, Geskus RB, Witte TD, et al (2012). Competing risks in epidemiology:possibilities and pitfalls. Int J Epidemiol, 41, 861-70. https://doi.org/10.1093/ije/dyr213
  2. Chen Z (2008). The third review sampling investigation report of death.Beijing union medical university press, Bei Jing, 52-3.
  3. Hao J, Chen WQ (2012). Chinese cancer registry Annual Report in 2012. Military Medical Science Press, Beijing.
  4. Kim HT (2007). Cumulative incidence in competing risks data and competing risks regression analysis. Clin Cancer Res, 15, 559-65.
  5. Kimman M, Norman R, Jan S (2012). The burden of cancer in member countries of the association of Southeast Asian nations (ASEAN) Asian Pac J Cancer Prev, 13, 411-20. https://doi.org/10.7314/APJCP.2012.13.2.411
  6. Latouche A, Allignol A, Beyersmann J, et al (2013). A competing risks analysis should report results on all causespecific hazards and cumulative incidence functions. J Clin Epidemiol, 66, 648-53. https://doi.org/10.1016/j.jclinepi.2012.09.017
  7. Inoue M, Tajima K, Tominaga S (2000). Probabilities of developing cancer over the whole life span of a Japanese. Asian Pac J Cancer Prev, 1, 333-6.
  8. Inoue M, Tominaga S (2003). Probabilities of developing cancer over the life span of a Japanese - update. Asian Pac J Cancer Prev, 4, 199-202.
  9. Sun SG (2008). Estimation of cumulative death rate on censor data. Appl Stat Manage, 27, 184-8.
  10. Sun ZQ, Xu YY (2006). Health Medical Statistics, People 's Health Publishing House, Bei Jing, 377-81.
  11. Zhang HY (2010). A new theory about additive formula in probability. Southwest University for Nationalities Natural Science Edition, 36, 544-6.
  12. Zhou TS, Chen CG (1991). An indicator of death-cause composition-- a life-time death probability. China Health Stat, 8, 45-6.

Cited by

  1. Clinical Observation and Therapeutic Evaluation of Rh-endostatin Combined with DP Regimen in Treating Patients with Advanced Esophageal Cancer vol.15, pp.16, 2014, https://doi.org/10.7314/APJCP.2014.15.16.6565
  2. Feasibility and Efficacy of Concurrent Chemoradiotherapy in Elderly Patients with Esophageal Squamous Cell Carcinoma: a Respective Study of 116 Cases from a Single Institution vol.16, pp.4, 2015, https://doi.org/10.7314/APJCP.2015.16.4.1463