Effects of the length of central cancer registry operations on identification of subsequent cancers and on survival estimates |
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| Institution: | 1. Dept. of Urology, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland;2. Department of Surgery, Seinäjoki Central Hospital, FI-60220 Seinäjoki, Finland;3. Department of Forensic Medicine, School of Medicine, University of Tampere and Fimlab Laboratories, Tampere University Hospital Region, Finland;4. Department of Internal Medicine, Tampere University Hospital, FI-33521 Tampere, Finland;5. Finnish Cancer Registry, FI-00130 Helsinki, Finland;6. Dept. of Urology, University of Tampere and Tampere University Hospital, FI-33521 Tampere, Finland;7. School of Health Sciences, University of Tampere, FI-33014 Tampere, Finland;1. Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea;2. Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea;3. Center for Creative Biomedical Scientists, Chonnam National University, Gwangju, Korea;4. Jeonnam Regional Cancer center, Chonnam National University Hwasun Hospital, Hwasun, Jeonnam, Korea;1. Office of International Cancer Control, Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, United States;2. Epidemiology and Applied Research Branch, Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, United States;3. Noncommunicable Disease Branch, Division of Global Health Protection, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, United States;4. Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, United States;1. Department of Clinical Pharmacy, St. Antonius Hospital, Utrecht/Nieuwegein, The Netherlands;2. Department of Clinical Pharmacology and Pharmacy, VU University Medical Center, Amsterdam, The Netherlands;3. Department of Pulmonary Diseases, St Antonius Hospital, Utrecht/Nieuwegein, The Netherlands;4. Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands;1. Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, United States;2. Medical Oncology Service, National Cancer Institute, National Institute of Health, Bethesda, MD, United States;3. Channing Division of Network Medicine, Department of Medicine, Brigham and Women''s Hospital and Harvard Medical School, Boston, MA, United States;4. Gastrointestinal Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States;5. Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States;6. Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States;7. Department of Pathology, Children’s Hospital Medical Center, Boston, MA, United States;8. Department of Nutrition, Harvard School of Public Health, Boston, MA, United States;1. College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA;2. Bulgarian National Cancer Registry, National Oncological Hospital, Sofia, Bulgaria |
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| Abstract: | BackgroundPopulation-based cancer survival analyses have traditionally been based on the first primary cancer. Recent studies have brought this practice into question, arguing that varying registry reference dates affect the ability to identify earlier cancers, resulting in selection bias. We used a theoretical approach to evaluate the extent to which the length of registry operations affects the classification of first versus subsequent cancers and consequently survival estimates.MethodsSequence number central was used to classify tumors from the New York State Cancer Registry, diagnosed 2001–2010, as either first primaries (value = 0 or 1) or subsequent primaries (≥2). A set of three sequence numbers, each based on an assumed reference year (1976, 1986 or 1996), was assigned to each tumor. Percent of subsequent cancers was evaluated by reference year, cancer site and age. 5-year relative survival estimates were compared under four different selection scenarios.ResultsThe percent of cancer cases classified as subsequent primaries was 15.3%, 14.3% and 11.2% for reference years 1976, 1986 and 1996, respectively; and varied by cancer site and age. When only the first primary was included, shorter registry operation time was associated with slightly lower 5-year survival estimates. When all primary cancers were included, survival estimates decreased, with the largest decreases seen for the earliest reference year.ConclusionsRegistry operation length affected the identification of subsequent cancers, but the overall effect of this misclassification on survival estimates was small. Survival estimates based on all primary cancers were slightly lower, but might be more comparable across registries. |
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| Keywords: | Cancer survival Subsequent primary cancers Multiple primary cancers Length of registry operations |
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