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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95089完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李文宗 | zh_TW |
| dc.contributor.advisor | Wen-Chung Lee | en |
| dc.contributor.author | 黃士庭 | zh_TW |
| dc.contributor.author | Shih-Ting Huang | en |
| dc.date.accessioned | 2024-08-28T16:12:38Z | - |
| dc.date.available | 2024-08-29 | - |
| dc.date.copyright | 2024-08-28 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-07-23 | - |
| dc.identifier.citation | 1. World Health Organization. Cancer. https://www.who.int/news-room/fact-sheets/detail/cancer, Accessed May, 2024.
2. National Cancer Institute. Cancer Statistics. https://www.cancer.gov/about-cancer/understanding/statistics, Accessed May, 2024. 3. International Agency for Research on Cancer. Cancer today: Data visualization tools for exploring the global cancer burden in 2020. Global Cancer Observatory. https://gco.iarc.fr/today, Accessed May, 2024. 4. Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Nikšić M, Bonaventure A, Valkov M, Johnson CJ, Estève J, Ogunbiyi OJ, Azevedo e Silva G, Chen WQ, Eser S, Engholm G, Stiller CA, Monnereau A, Woods RR, Visser O, Coleman MP, CONCORD working group. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet 2018;391(10125):1023-1075. 5. International Agency for Research on Cancer. SURVMARK-2: Cancer survival in high-income countries. Global Cancer Observatory. https://gco.iarc.fr/survival/survmark/, Accessed May, 2024. 6. Maudsley G, Williams EMI. Inaccuracy in death certification—where are we now? Journal of Public Health 1996;18(1):59-66. 7. Percy C, Stanek E, Gloeckler L. Accuracy of cancer death certificates and its effect on cancer mortality statistics. American Journal of Public Health 1981;71(3):242-250. 8. Smith Sehdev AE, Hutchins GM. Problems with proper completion and accuracy of the cause-of-death statement. Archives of Internal Medicine 2001;161(2):277-284. 9. Chiang CJ, You SL, Chen CJ, Yang YW, Lo WC, Lai MS. Quality assessment and improvement of nationwide cancer registration system in Taiwan: a review. Japanese Journal of Clinical Oncology 2015;45(3):291-296. 10. Chiang CJ, Wang YW, Lee WC. Taiwan’s nationwide cancer registry system of 40 years: past, present, and future. Journal of the Formosan Medical Association 2019;118(5):856-858. 11. Kao CW, Chiang CH, Lin LJ, Huang CW, Lee WC, Lee MY, Taiwan society of cancer registry expert group. Accuracy of long-form data in the Taiwan Cancer Registry. Journal of the Formosan Medical Association 2021;120:2037-2041. 12. Ederer F, Heise H. Instructions to IBM 650 programmers in processing survival computations. Journal of the National Cancer Institute 1961;27(3):655-660. 13. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine 2000;19(3):335-51. 14. International Agency for Research on Cancer. Cancer today. Global Cancer Observatory. https://gco.iarc.who.int/today/en, Accessed May, 2024. 15. Su SY, Lee WC. Mortality trends of liver diseases from 1981 to 2016 and the projection to 2035 in Taiwan: An age‐period‐cohort analysis. Liver International 2019;39(4):770-776. 16. Su SY, Chiang CJ, Yang YW, Lee WC. Secular trends in liver cancer incidence from 1997 to 2014 in Taiwan and projection to 2035: An age-period-cohort analysis. Journal of the Formosan Medical Association 2019;118(1):444-449. 17. Chiang CJ, Yang YW, Chen JD, You SL, Yang HI, Lee MH, Chen CJ. Significant reduction in end‐stage liver diseases burden through the national viral hepatitis therapy program in Taiwan. Hepatology 2015;61(4):1154-1162. 18. World Health Organization. International statistical classification of diseases and related health problems (10th revision). Geneva: World Health Organization. https://icd.who.int/browse10/2016/en, Accessed May, 2024. 19. Kelly SP, Rosenberg PS, Anderson WF, Andreotti G, Younes N, Cleary SD, Cook MB. Trends in the incidence of fatal prostate cancer in the United States by race. European Urology 2017;71(2):195–201. 20. Misono S, Weiss NS, Fann JR, Redman M, Yueh B. Incidence of suicide in persons with cancer. Journal of Clinical Oncology 2008;26(29):4731-4738. 21. Li Z, Chen H, Li Y, Tang W, Fang J. Suicide prevention in cancer care. Journal of Internal Medicine 2011;22(5):335-343. 22. Lin PH, Liao SC, Chen IM, Kuo PH, Shan JC, Lee MB, Chen WJ. Impact of universal health coverage on suicide risk in newly diagnosed cancer patients: population‐based cohort study from 1985 to 2007 in Taiwan. Psycho‐Oncology 2017;26(11):1852-1859. 23. Utada M, Ohno Y, Shimizu S, Hori M, Soda M. Comparison between overall, cause-specific, and relative survival rates based on data from a population-based cancer registry. Asian Pacific Journal of Cancer Prevention 2012;13(11):5681-5685. 24. Chu KC, Miller BA, Feuer EJ, Hankey BF. A method for partitioning cancer mortality trends by factors associated with diagnosis: An application to female breast cancer. Journal of Clinical Epidemiology 1994;47(12):1451-1461. 25. National Cancer Institute. SEER*Explorer: Incidence-based mortality - Cancer query system, Surveillance research program, National Cancer Institute. https://surveillance.cancer.gov/statistics/ibm/, Accessed May, 2024. 26. Feuer EJ, Merrill RM, Hankey BF. Cancer surveillance series: Interpreting trends in prostate cancer—part II: Cause of death misclassification and the recent rise and fall in prostate cancer mortality. Journal of the National Cancer Institute 1999;91(12):1025–1032. 27. Howlader N, Forjaz G, Mooradian MJ, Meza R, Kong CY, Cronin KA, Feuer EJ. The effect of advances in lung-cancer treatment on population mortality. New England Journal of Medicine 2020;383(7):640-649. 28. Howlader N. Incidence-based mortality (IBM) tool to partition tumor-specific mortality trends using factors related to diagnosis (p. 40), Surveillance research program. National Institutes of Health. https://seer.cancer.gov/news/IBM_Howlader_Jun9.pdf, Accessed May, 2024. 29. Lopez AD. Global Burden of Disease and Risk Factors. World Bank Publications 2006. https://www.ncbi.nlm.nih.gov/books/NBK11812/, Accessed May, 2024. 30. Ferrari AJ, Santomauro DF, AaliA , AbateYH, AbbafatiC, Abbastabar H, Bell ML. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet 2024;403(10440):2133-2161. 31. Voigt K, King NB. Disability weights in the global burden of disease 2010 study: Two steps forward, one step back? Bulletin of the World Health Organization 2014;92(3):226–228. 32. Lee WC. Quantifying the future impact of disease on society: life table-based measures of potential life lost. American journal of public health 1997;87(9):1456-1460. 33. Lee WC. The meaning and use of the cumulative rate of potential life lost. International journal of epidemiology 1998;27(6):1053-1056. 34. Wang Y, Chiang CJ, Lee WC. Age-standardized expected years of life lost: quantification of cancer severity. BMC Public Health 2019;19:1-7. 35. Peng YT, Meng FT, Su SY, Chiang CJ, Yang YW, Lee WC. A survivorship-period-cohort model for cancer survival: application to liver cancer in Taiwan, 1997–2016. American Journal of Epidemiology 2021;190(9):1961-1968. 36. Meng FT, Jhuang JR, Peng YT, Chiang CJ, Yang,YW, Huang CY, Lee WC. Predicting Lung Cancer Survival to the Future: Population-Based Cancer Survival Modeling Study. Journal of Medical Internet Research Public Health and Surveillance 2024;10(1):e46737. 37. Xia C, Yu XQ, Chen W. Measuring population‐level cure patterns for cancer patients in the United States. International Journal of Cancer 2023;152(4):738-748. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95089 | - |
| dc.description.abstract | 背景
傳統的癌症負擔指標如發生率、死亡率和存活率各有其局限性,往往無法全面反映癌症的真實影響。僅使用發生率可能會忽視較罕見但致命的癌症。死亡率可能受到死因資料不準確的影響,且反映的是死亡日期而非診斷日期。存活率可能會低估致命性較低但更常見的癌症的影響。 方法 本研究提出了一種新指標:年齡標準化死亡調整發生率(ASFAIR),結合年齡標準化發生率與五年相對存活率。該指標應用於2000年至2015年間的台灣癌症數據,並與傳統指標進行比較,以突顯傳統指標的缺陷。此外,還對39個國家的乳癌防治情況進行了國際比較。 結果 在台灣,ASFAIR揭示了癌症排名和趨勢的顯著變化。對於男性來說,最初領先的結直腸癌在死亡調整後上升速度顯著放緩。肺癌超過肝癌成為最常見的癌症,而肝癌的下降趨勢更加明顯。對於女性而言,乳癌在調整後從首位跌至第四位,而肺癌儘管其增長趨勢放緩,仍成為最主要的癌症。胰臟癌進入前十,呈現出令人擔憂的上升趨勢。在國際上,乳癌的排名在調整後顯著變化,美國和加拿大在調整前的高排名下降,而巴西和哥倫比亞在美洲的排名上升。西歐在調整前有最高乳癌發生率,但在調整後出現顯著下降。 結論 本研究提出的新指標,ASFAIR,通過結合發生率和存活率數據,提供了一個全面且準確的衡量癌症負擔的指標。相比傳統指標,它更有效地揭示了各種癌症的真實影響。我們的研究結果顯示了其在台灣及國際上的穩健性和實用性,建議使用ASFAIR來補充現有的癌症負擔衡量指標,以進行更準確和全面的全球評估。 | zh_TW |
| dc.description.abstract | Background:
Traditional cancer burden measures like incidence rates, mortality rates, and survival probabilities each have limitations, often missing the true impact of cancer. Using incidence rates can overlook less common but lethal cancers. Mortality rates can be hampered by inaccuracies in cause-of-death data and reflect the death date rather than the diagnosis date. Survival probabilities can underestimate the impact of less lethal but more common cancers. Methods: This study proposed a new measure: the age-standardized fatality-adjusted incidence rate (ASFAIR), combining age-standardized incidence rates with five-year relative survival rates. This measure was applied to cancer data from Taiwan for the period 2000-2015 and compared with traditional metrics to highlight their deficiencies. An international comparison of breast cancer burden across 39 countries was also conducted. Results: In Taiwan, ASFAIR revealed notable changes in cancer rankings and trends. For men, colorectal cancer, initially leading, saw its rise slow significantly after fatality adjustment. Lung cancer overtook liver cancer as the most common, with liver cancer’s declining trend becoming more pronounced. Among women, breast cancer fell from first to fourth rank post-adjustment, with lung cancer emerging as the top cancer despite its increasing trend decelerating. Pancreatic cancer entered the top 10 with a worrying upward trajectory. Internationally, breast cancer rankings shifted significantly post-adjustment, with the U.S. and Canada dropping from high pre-adjustment ranks while Brazil and Colombia rose to the forefront in the Americas. Western Europe, initially dominating the highest rates, experienced notable reductions post-adjustment. Conclusion: The proposed new measure, ASFAIR, provides a comprehensive and accurate metric for assessing cancer burden by integrating incidence and survival data. It reveals the true impact of various cancers more effectively than traditional measures. Our findings demonstrate its robustness and utility, both in Taiwan and internationally, suggesting that ASFAIR should be adopted as a complement to existing cancer burden measures for more accurate and comprehensive assessments worldwide. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-28T16:12:38Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-08-28T16:12:38Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 誌謝 i
中文摘要 ii 英文摘要 iv 目次 vi 圖次 vii 表次 viii 第一章 前言 1 第二章 方法 2 第三章 結果 4 第四章 討論 13 參考文獻 17 附錄 24 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 年齡標準化 | zh_TW |
| dc.subject | 相對存活率 | zh_TW |
| dc.subject | 死亡率 | zh_TW |
| dc.subject | 發生率 | zh_TW |
| dc.subject | 癌症負擔 | zh_TW |
| dc.subject | cancer burden | en |
| dc.subject | mortality | en |
| dc.subject | age standardization | en |
| dc.subject | relative survival | en |
| dc.subject | incidence | en |
| dc.title | 年齡標準化死亡調整發生率:一種新的癌症負擔指標 | zh_TW |
| dc.title | Age-Standardized Fatality-Adjusted Incidence Rate: A Novel Measure for Cancer Burden | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林先和;江濬如;羅偉成 | zh_TW |
| dc.contributor.oralexamcommittee | HSIEN-HO LIN;CHUN-JU CHIANG;Wei-Cheng Lo | en |
| dc.subject.keyword | 年齡標準化,癌症負擔,發生率,死亡率,相對存活率, | zh_TW |
| dc.subject.keyword | age standardization,cancer burden,incidence,mortality,relative survival, | en |
| dc.relation.page | 30 | - |
| dc.identifier.doi | 10.6342/NTU202401986 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-07-26 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | - |
| dc.date.embargo-lift | 2029-07-20 | - |
| 顯示於系所單位: | 流行病學與預防醫學研究所 | |
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