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A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry
Objective. Use of cancer cases from registries and PMSI claims database to estimate Département-specific incidence of four major cancers. Methods. Case extraction used principal diagnosis then surgery codes. PMSI cases/registry cases ratios for 2004 were modelled then Département-specific incidence...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065037/ https://www.ncbi.nlm.nih.gov/pubmed/21527984 http://dx.doi.org/10.1155/2011/418968 |
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author | Mitton, Nicolas Colonna, Marc Trombert, Béatrice Olive, Frédéric Gomez, Frédéric Iwaz, Jean Polazzi, Stéphanie Schott-Petelaz, Anne-Marie Uhry, Zoé Bossard, Nadine Remontet, Laurent |
author_facet | Mitton, Nicolas Colonna, Marc Trombert, Béatrice Olive, Frédéric Gomez, Frédéric Iwaz, Jean Polazzi, Stéphanie Schott-Petelaz, Anne-Marie Uhry, Zoé Bossard, Nadine Remontet, Laurent |
author_sort | Mitton, Nicolas |
collection | PubMed |
description | Objective. Use of cancer cases from registries and PMSI claims database to estimate Département-specific incidence of four major cancers. Methods. Case extraction used principal diagnosis then surgery codes. PMSI cases/registry cases ratios for 2004 were modelled then Département-specific incidence for 2007 estimated using these ratios and 2007 PMSI cases. Results. For 2007, only colon-rectum and breast cancer estimations were satisfactorily validated for infranational incidence not ovary and kidney cancers. For breast, the estimated national incidence was 50,578 cases and the incidence rate 98.6 cases per 100,000 person per year. For colon-rectum, incidence was 21,172 in men versus 18,327 in women and the incidence rate 38 per 100,000 versus 24.8. For ovary, the estimated incidence was 4,637 and the rate 8.6 per 100,000. For kidney, incidence was 6,775 in men versus 3,273 in women and the rate 13.3 per 100.000 versus 5.2. Conclusion. Incidence estimation using PMSI patient identifiers proved encouraging though still dependent on the assumption of uniform cancer treatments and coding. |
format | Text |
id | pubmed-3065037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30650372011-04-28 A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry Mitton, Nicolas Colonna, Marc Trombert, Béatrice Olive, Frédéric Gomez, Frédéric Iwaz, Jean Polazzi, Stéphanie Schott-Petelaz, Anne-Marie Uhry, Zoé Bossard, Nadine Remontet, Laurent J Cancer Epidemiol Research Article Objective. Use of cancer cases from registries and PMSI claims database to estimate Département-specific incidence of four major cancers. Methods. Case extraction used principal diagnosis then surgery codes. PMSI cases/registry cases ratios for 2004 were modelled then Département-specific incidence for 2007 estimated using these ratios and 2007 PMSI cases. Results. For 2007, only colon-rectum and breast cancer estimations were satisfactorily validated for infranational incidence not ovary and kidney cancers. For breast, the estimated national incidence was 50,578 cases and the incidence rate 98.6 cases per 100,000 person per year. For colon-rectum, incidence was 21,172 in men versus 18,327 in women and the incidence rate 38 per 100,000 versus 24.8. For ovary, the estimated incidence was 4,637 and the rate 8.6 per 100,000. For kidney, incidence was 6,775 in men versus 3,273 in women and the rate 13.3 per 100.000 versus 5.2. Conclusion. Incidence estimation using PMSI patient identifiers proved encouraging though still dependent on the assumption of uniform cancer treatments and coding. Hindawi Publishing Corporation 2011 2011-03-08 /pmc/articles/PMC3065037/ /pubmed/21527984 http://dx.doi.org/10.1155/2011/418968 Text en Copyright © 2011 Nicolas Mitton et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mitton, Nicolas Colonna, Marc Trombert, Béatrice Olive, Frédéric Gomez, Frédéric Iwaz, Jean Polazzi, Stéphanie Schott-Petelaz, Anne-Marie Uhry, Zoé Bossard, Nadine Remontet, Laurent A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title | A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title_full | A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title_fullStr | A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title_full_unstemmed | A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title_short | A Suitable Approach to Estimate Cancer Incidence in Area without Cancer Registry |
title_sort | suitable approach to estimate cancer incidence in area without cancer registry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065037/ https://www.ncbi.nlm.nih.gov/pubmed/21527984 http://dx.doi.org/10.1155/2011/418968 |
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