BACKGROUND: The magnitude of differences in mortality incidence (M:I) ratios derived from the national mortality source and those derived from cancer registry (CR) databases may be used to determine associated factors. METHODS: All information on cancer incidence cases and mortality cases from January 1, 2003 to December 31, 2007 were retrieved from 5 population-based cancer registries in four regions of Thailand. Two sources of mortality were used: death cases within the cancer registries and mortality statistics obtained from the Ministry of Public Health (MOPH). Plots of percentage M:I ratios from cancer registry databases and from national mortality sources against 1 minus 5 years relative survival (1-5yrRS) were used to visualize the correlation between the two mortality sources. A Poisson regression model was used to determine the influence of cancer sites and registries on the M:I ratio/[1-5yrRS]. RESULTS: There was high variability between the standard M:I ratio derived from national mortality compared with 1-5 year RS. The factors affecting M:I ratios are sources of mortality data and misclassification of topographic site as the cause of death. CONCLUSIONS: Use of the M:I ratio is not recommended to evaluate completeness of cancer registry data when the quality of mortality data is poor.
BACKGROUND: The magnitude of differences in mortality incidence (M:I) ratios derived from the national mortality source and those derived from cancer registry (CR) databases may be used to determine associated factors. METHODS: All information on cancer incidence cases and mortality cases from January 1, 2003 to December 31, 2007 were retrieved from 5 population-based cancer registries in four regions of Thailand. Two sources of mortality were used: death cases within the cancer registries and mortality statistics obtained from the Ministry of Public Health (MOPH). Plots of percentage M:I ratios from cancer registry databases and from national mortality sources against 1 minus 5 years relative survival (1-5yrRS) were used to visualize the correlation between the two mortality sources. A Poisson regression model was used to determine the influence of cancer sites and registries on the M:I ratio/[1-5yrRS]. RESULTS: There was high variability between the standard M:I ratio derived from national mortality compared with 1-5 year RS. The factors affecting M:I ratios are sources of mortality data and misclassification of topographic site as the cause of death. CONCLUSIONS: Use of the M:I ratio is not recommended to evaluate completeness of cancer registry data when the quality of mortality data is poor.
Authors: Christina Fitzmaurice; Daniel Dicker; Amanda Pain; Hannah Hamavid; Maziar Moradi-Lakeh; Michael F MacIntyre; Christine Allen; Gillian Hansen; Rachel Woodbrook; Charles Wolfe; Randah R Hamadeh; Ami Moore; Andrea Werdecker; Bradford D Gessner; Braden Te Ao; Brian McMahon; Chante Karimkhani; Chuanhua Yu; Graham S Cooke; David C Schwebel; David O Carpenter; David M Pereira; Denis Nash; Dhruv S Kazi; Diego De Leo; Dietrich Plass; Kingsley N Ukwaja; George D Thurston; Kim Yun Jin; Edgar P Simard; Edward Mills; Eun-Kee Park; Ferrán Catalá-López; Gabrielle deVeber; Carolyn Gotay; Gulfaraz Khan; H Dean Hosgood; Itamar S Santos; Janet L Leasher; Jasvinder Singh; James Leigh; Jost B Jonas; Jost Jonas; Juan Sanabria; Justin Beardsley; Kathryn H Jacobsen; Ken Takahashi; Richard C Franklin; Luca Ronfani; Marcella Montico; Luigi Naldi; Marcello Tonelli; Johanna Geleijnse; Max Petzold; Mark G Shrime; Mustafa Younis; Naohiro Yonemoto; Nicholas Breitborde; Paul Yip; Farshad Pourmalek; Paulo A Lotufo; Alireza Esteghamati; Graeme J Hankey; Raghib Ali; Raimundas Lunevicius; Reza Malekzadeh; Robert Dellavalle; Robert Weintraub; Robyn Lucas; Roderick Hay; David Rojas-Rueda; Ronny Westerman; Sadaf G Sepanlou; Sandra Nolte; Scott Patten; Scott Weichenthal; Semaw Ferede Abera; Seyed-Mohammad Fereshtehnejad; Ivy Shiue; Tim Driscoll; Tommi Vasankari; Ubai Alsharif; Vafa Rahimi-Movaghar; Vasiliy V Vlassov; W S Marcenes; Wubegzier Mekonnen; Yohannes Adama Melaku; Yuichiro Yano; Al Artaman; Ismael Campos; Jennifer MacLachlan; Ulrich Mueller; Daniel Kim; Matias Trillini; Babak Eshrati; Hywel C Williams; Kenji Shibuya; Rakhi Dandona; Kinnari Murthy; Benjamin Cowie; Azmeraw T Amare; Carl Abelardo Antonio; Carlos Castañeda-Orjuela; Coen H van Gool; Francesco Violante; In-Hwan Oh; Kedede Deribe; Kjetil Soreide; Luke Knibbs; Maia Kereselidze; Mark Green; Rosario Cardenas; Nobhojit Roy; Taavi Tillmann; Taavi Tillman; Yongmei Li; Hans Krueger; Lorenzo Monasta; Subhojit Dey; Sara Sheikhbahaei; Nima Hafezi-Nejad; G Anil Kumar; Chandrashekhar T Sreeramareddy; Lalit Dandona; Haidong Wang; Stein Emil Vollset; Ali Mokdad; Joshua A Salomon; Rafael Lozano; Theo Vos; Mohammad Forouzanfar; Alan Lopez; Christopher Murray; Mohsen Naghavi Journal: JAMA Oncol Date: 2015-07 Impact factor: 31.777
Authors: Christian S Alvarez; Eduardo Villamor; Rafael Meza; Laura S Rozek; Hutcha Sriplung; Alison M Mondul Journal: BMC Cancer Date: 2018-11-27 Impact factor: 4.430