Tumour doubling times and the length bias in breast cancer screening programmes
Screening for early detection of breast cancer is considered to be an important element of preventive medicine. In this paper, we use numerical simulations to examine the length bias in regular interval screening programmes, by computing the doubling times of breast cancer tumours detected through r...
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| Veröffentlicht in: | Health care management science 2011-06, Vol.14 (2), p.203-211 |
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| creator | Vieira, Israel T. de Senna, Valter Harper, Paul R. Shahani, Arjan K. |
| description | Screening for early detection of breast cancer is considered to be an important element of preventive medicine. In this paper, we use numerical simulations to examine the length bias in regular interval screening programmes, by computing the doubling times of breast cancer tumours detected through regular mammographies compared to self-detection. Our analysis shows that doubling times of tumours detected by a regular screening programme are longer than doubling times in the original whole population and considerably longer than those self-detected. Hence regular interval mammographies may be missing a high proportion of fast growing tumours and therefore the benefits of current screening programmes may need to be re-evaluated. We examine the likely size of the length bias for the present UK breast cancer screening programme and perform a sensitivity analysis by varying the screen detection probabilities to reflect future advances in mammographic detection. |
| doi_str_mv | 10.1007/s10729-011-9156-9 |
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In this paper, we use numerical simulations to examine the length bias in regular interval screening programmes, by computing the doubling times of breast cancer tumours detected through regular mammographies compared to self-detection. Our analysis shows that doubling times of tumours detected by a regular screening programme are longer than doubling times in the original whole population and considerably longer than those self-detected. Hence regular interval mammographies may be missing a high proportion of fast growing tumours and therefore the benefits of current screening programmes may need to be re-evaluated. We examine the likely size of the length bias for the present UK breast cancer screening programme and perform a sensitivity analysis by varying the screen detection probabilities to reflect future advances in mammographic detection.</description><subject>Age</subject><subject>Aged</subject><subject>Bias</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - pathology</subject><subject>Business and Management</subject><subject>Computer Simulation</subject><subject>Disease Progression</subject><subject>Early Detection of Cancer - statistics & numerical data</subject><subject>Econometrics</subject><subject>Female</subject><subject>Health Administration</subject><subject>Health Informatics</subject><subject>Healthcare modelling</subject><subject>Humans</subject><subject>Length bias</subject><subject>Lung cancer</subject><subject>Mammography</subject><subject>Mammography - statistics & numerical data</subject><subject>Management</subject><subject>Medical prognosis</subject><subject>Medical screening</subject><subject>Middle Aged</subject><subject>Monte Carlo simulation</subject><subject>Mortality</subject><subject>Operations Research/Decision Theory</subject><subject>Preventive medicine</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Studies</subject><subject>Time Factors</subject><subject>Trends</subject><subject>Tumors</subject><subject>Tumour doubling times</subject><subject>United Kingdom</subject><subject>Womens health</subject><issn>1386-9620</issn><issn>1572-9389</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>X2L</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kc1u1TAQhS1ERUvhAdggiw2r0LEdJ_YSVfyqUjft2nKcyb0piRPsBKlvz6QpRUJiYXs0_s545pixNwI-CID6IguopS1AiMIKXRX2GTsTupaFVcY-p1gZSlYSTtnLnO8AQEMlXrBTKbRStZZn7PpmHac18XZam6GPB770I2buY8uXI_IB42E58qb3mfeRNwl9XnjwMWDiOSTEuInmNB2SH0n5ip10fsj4-vE8Z7efP91cfi2urr98u_x4VQQNsBTB2BbA1GVVSwNCAvrGQutVB7XWoSm1UFUTOmloQNNqa0IbtCyFJLQrW3XO3u916emfK-bFjX0OOAw-4rRmZ6qyNmCrish3_5B3NHCk5jYIjChlSZDYoZCmnBN2bk796NO9E-A2r93utSOv3ea1s6T5vmsSzhieBD_8fAw-4eh-OeVFSds9Lbkple-3kNb8kFJOUva4jFTs7WOXazNi-1Ttz08RIHcg01U8YPo7xv9b_A37NqEv</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Vieira, Israel T.</creator><creator>de Senna, Valter</creator><creator>Harper, Paul R.</creator><creator>Shahani, Arjan K.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20110601</creationdate><title>Tumour doubling times and the length bias in breast cancer screening programmes</title><author>Vieira, Israel T. ; de Senna, Valter ; Harper, Paul R. ; Shahani, Arjan K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-c89d0087467280120eab90da3f0755cb45136bcf287298d598cdc5241220ef4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Age</topic><topic>Aged</topic><topic>Bias</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - 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In this paper, we use numerical simulations to examine the length bias in regular interval screening programmes, by computing the doubling times of breast cancer tumours detected through regular mammographies compared to self-detection. Our analysis shows that doubling times of tumours detected by a regular screening programme are longer than doubling times in the original whole population and considerably longer than those self-detected. Hence regular interval mammographies may be missing a high proportion of fast growing tumours and therefore the benefits of current screening programmes may need to be re-evaluated. We examine the likely size of the length bias for the present UK breast cancer screening programme and perform a sensitivity analysis by varying the screen detection probabilities to reflect future advances in mammographic detection.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>21533752</pmid><doi>10.1007/s10729-011-9156-9</doi><tpages>9</tpages></addata></record> |
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| ispartof | Health care management science, 2011-06, Vol.14 (2), p.203-211 |
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| source | Business Source Complete (BSC) 商管财经类全文数据库(完整版); MEDLINE; RePEc; SpringerLink (Online service) |
| subjects | Age Aged Bias Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - pathology Business and Management Computer Simulation Disease Progression Early Detection of Cancer - statistics & numerical data Econometrics Female Health Administration Health Informatics Healthcare modelling Humans Length bias Lung cancer Mammography Mammography - statistics & numerical data Management Medical prognosis Medical screening Middle Aged Monte Carlo simulation Mortality Operations Research/Decision Theory Preventive medicine Sensitivity analysis Simulation Studies Time Factors Trends Tumors Tumour doubling times United Kingdom Womens health |
| title | Tumour doubling times and the length bias in breast cancer screening programmes |
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