Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database
Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Uhry, Zoe [verfasserIn] Colonna, Marc [verfasserIn] Remontet, Laurent [verfasserIn] Grosclaude, Pascale [verfasserIn] Carré, Nicolas [verfasserIn] Couris, Chantal Marie [verfasserIn] Velten, Michel [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: European journal of epidemiology - [Cham] : Springer Nature Switzerland AG, 1985, 22(2007), 9 vom: 18. Juli, Seite 607-614 |
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| Übergeordnetes Werk: |
volume:22 ; year:2007 ; number:9 ; day:18 ; month:07 ; pages:607-614 |
| Links: |
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| DOI / URN: |
10.1007/s10654-007-9158-6 |
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| Katalog-ID: |
SPR012529184 |
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| 100 | 1 | |a Uhry, Zoe |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database |
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| 520 | |a Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. | ||
| 650 | 4 | |a Thyroid cancer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Incidence |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Hospital discharge database |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Colonna, Marc |e verfasserin |4 aut | |
| 700 | 1 | |a Remontet, Laurent |e verfasserin |4 aut | |
| 700 | 1 | |a Grosclaude, Pascale |e verfasserin |4 aut | |
| 700 | 1 | |a Carré, Nicolas |e verfasserin |4 aut | |
| 700 | 1 | |a Couris, Chantal Marie |e verfasserin |4 aut | |
| 700 | 1 | |a Velten, Michel |e verfasserin |4 aut | |
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10.1007/s10654-007-9158-6 doi (DE-627)SPR012529184 (SPR)s10654-007-9158-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Uhry, Zoe verfasserin aut Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 Colonna, Marc verfasserin aut Remontet, Laurent verfasserin aut Grosclaude, Pascale verfasserin aut Carré, Nicolas verfasserin aut Couris, Chantal Marie verfasserin aut Velten, Michel verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 22(2007), 9 vom: 18. Juli, Seite 607-614 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:22 year:2007 number:9 day:18 month:07 pages:607-614 https://dx.doi.org/10.1007/s10654-007-9158-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 22 2007 9 18 07 607-614 |
| spelling |
10.1007/s10654-007-9158-6 doi (DE-627)SPR012529184 (SPR)s10654-007-9158-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Uhry, Zoe verfasserin aut Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 Colonna, Marc verfasserin aut Remontet, Laurent verfasserin aut Grosclaude, Pascale verfasserin aut Carré, Nicolas verfasserin aut Couris, Chantal Marie verfasserin aut Velten, Michel verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 22(2007), 9 vom: 18. Juli, Seite 607-614 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:22 year:2007 number:9 day:18 month:07 pages:607-614 https://dx.doi.org/10.1007/s10654-007-9158-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 22 2007 9 18 07 607-614 |
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10.1007/s10654-007-9158-6 doi (DE-627)SPR012529184 (SPR)s10654-007-9158-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Uhry, Zoe verfasserin aut Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 Colonna, Marc verfasserin aut Remontet, Laurent verfasserin aut Grosclaude, Pascale verfasserin aut Carré, Nicolas verfasserin aut Couris, Chantal Marie verfasserin aut Velten, Michel verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 22(2007), 9 vom: 18. Juli, Seite 607-614 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:22 year:2007 number:9 day:18 month:07 pages:607-614 https://dx.doi.org/10.1007/s10654-007-9158-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 22 2007 9 18 07 607-614 |
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10.1007/s10654-007-9158-6 doi (DE-627)SPR012529184 (SPR)s10654-007-9158-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Uhry, Zoe verfasserin aut Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 Colonna, Marc verfasserin aut Remontet, Laurent verfasserin aut Grosclaude, Pascale verfasserin aut Carré, Nicolas verfasserin aut Couris, Chantal Marie verfasserin aut Velten, Michel verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 22(2007), 9 vom: 18. Juli, Seite 607-614 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:22 year:2007 number:9 day:18 month:07 pages:607-614 https://dx.doi.org/10.1007/s10654-007-9158-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 22 2007 9 18 07 607-614 |
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10.1007/s10654-007-9158-6 doi (DE-627)SPR012529184 (SPR)s10654-007-9158-6-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Uhry, Zoe verfasserin aut Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 Colonna, Marc verfasserin aut Remontet, Laurent verfasserin aut Grosclaude, Pascale verfasserin aut Carré, Nicolas verfasserin aut Couris, Chantal Marie verfasserin aut Velten, Michel verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 22(2007), 9 vom: 18. Juli, Seite 607-614 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:22 year:2007 number:9 day:18 month:07 pages:607-614 https://dx.doi.org/10.1007/s10654-007-9158-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 22 2007 9 18 07 607-614 |
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Enthalten in European journal of epidemiology 22(2007), 9 vom: 18. Juli, Seite 607-614 volume:22 year:2007 number:9 day:18 month:07 pages:607-614 |
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Enthalten in European journal of epidemiology 22(2007), 9 vom: 18. Juli, Seite 607-614 volume:22 year:2007 number:9 day:18 month:07 pages:607-614 |
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Uhry, Zoe @@aut@@ Colonna, Marc @@aut@@ Remontet, Laurent @@aut@@ Grosclaude, Pascale @@aut@@ Carré, Nicolas @@aut@@ Couris, Chantal Marie @@aut@@ Velten, Michel @@aut@@ |
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Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Thyroid cancer</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Incidence</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hospital discharge database</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Colonna, Marc</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Remontet, Laurent</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Grosclaude, Pascale</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carré, Nicolas</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Couris, Chantal Marie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Velten, Michel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">European journal of epidemiology</subfield><subfield code="d">[Cham] : Springer Nature Switzerland AG, 1985</subfield><subfield code="g">22(2007), 9 vom: 18. Juli, Seite 607-614</subfield><subfield code="w">(DE-627)320441636</subfield><subfield code="w">(DE-600)2004992-4</subfield><subfield code="x">1573-7284</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:22</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:9</subfield><subfield code="g">day:18</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:607-614</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10654-007-9158-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" 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|
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Uhry, Zoe |
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Uhry, Zoe ddc 610 bkl 44.11 misc Thyroid cancer misc Incidence misc Hospital discharge database Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database |
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610 ASE 44.11 bkl Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database Thyroid cancer (dpeaa)DE-He213 Incidence (dpeaa)DE-He213 Hospital discharge database (dpeaa)DE-He213 |
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ddc 610 bkl 44.11 misc Thyroid cancer misc Incidence misc Hospital discharge database |
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ddc 610 bkl 44.11 misc Thyroid cancer misc Incidence misc Hospital discharge database |
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Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database |
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Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database |
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European journal of epidemiology |
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Uhry, Zoe Colonna, Marc Remontet, Laurent Grosclaude, Pascale Carré, Nicolas Couris, Chantal Marie Velten, Michel |
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estimating infra-national and national thyroid cancer incidence in france from cancer registries data and national hospital discharge database |
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Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database |
| abstract |
Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. |
| abstractGer |
Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. |
| abstract_unstemmed |
Objective As in many countries, cancer registries cover only part of the population in France. Incidence/mortality ratio observed in registries is usually extrapolated to produce national estimates of cancer incidence. District-level estimates are not currently available. For cancer sites such as thyroid, the incidence/mortality ratio widely varies between districts, and alternative indicators must be explored. This study aims to produce national and district-level estimations of thyroid cancer incidence in France, using the ratio between incidence and hospital-based incidence. Methods Analyses concerned population living in France and aged over 20, for the period 1998–2000. For each sex, number of incident cases were analysed according to number of surgery admissions for thyroid cancer (Poisson model) in the districts covered by a registry. Age was included in the model as fixed effect and district as random effect. The model’s ability to predict incidence was tested through cross-validation. The model was then extrapolated to produce national incidence estimations, and for women, district-level estimations. Results The national estimations of incidence rate age-standardised on the world population were 3.1 [95% prediction interval: 2.8–3.4] for men and 10.6 [9.8–11.4] for women, corresponding respectively to 1,148 [1,042–1,264] and 4,104 [3,817–4,413] annual new cases. For women, district-level incidence rates presented wide geographical variations, ranging broadly from 5 to 20 per 100,000. These estimations were quite imprecise, but their imprecision was smaller than the extent of geographical disparities. Conclusion National incidence estimations obtained are relatively precise. District-level estimations in women are imprecise and should be treated carefully. They are informative though regarding the extent of geographical disparities. The approach can be useful to improve national incidence estimates and to produce district-level estimates for cancer sites presenting a high variability of the incidence/mortality ratio. |
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| score |
7.4014053 |