External validation of risk prediction models for incident colorectal cancer using UK Biobank.
Br J Cancer
; 118(5): 750-759, 2018 03 06.
Article
em En
| MEDLINE
| ID: mdl-29381683
ABSTRACT
BACKGROUND:
This study aimed to compare and externally validate risk scores developed to predict incident colorectal cancer (CRC) that include variables routinely available or easily obtainable via self-completed questionnaire.METHODS:
External validation of fourteen risk models from a previous systematic review in 373 112 men and women within the UK Biobank cohort with 5-year follow-up, no prior history of CRC and data for incidence of CRC through linkage to national cancer registries.RESULTS:
There were 1719 (0.46%) cases of incident CRC. The performance of the risk models varied substantially. In men, the QCancer10 model and models by Tao, Driver and Ma all had an area under the receiver operating characteristic curve (AUC) between 0.67 and 0.70. Discrimination was lower in women the QCancer10, Wells, Tao, Guesmi and Ma models were the best performing with AUCs between 0.63 and 0.66. Assessment of calibration was possible for six models in men and women. All would require country-specific recalibration if estimates of absolute risks were to be given to individuals.CONCLUSIONS:
Several risk models based on easily obtainable data have relatively good discrimination in a UK population. Modelling studies are now required to estimate the potential health benefits and cost-effectiveness of implementing stratified risk-based CRC screening.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Colorretais
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Medição de Risco
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Incidence_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article