Dataset Information

External validation of risk prediction models for incident colorectal cancer using UK Biobank.

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.

SUBMITTER: Usher-Smith JA

PROVIDER: S-EPMC5846069 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Publications

External validation of risk prediction models for incident colorectal cancer using UK Biobank.

Usher-Smith J A JA Harshfield A A Saunders C L CL Sharp S J SJ Emery J J Walter F M FM Muir K K Griffin S J SJ

British journal of cancer 20180130 5

<h4>Background</h4>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.<h4>Methods</h4>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 regist ...[more]

PMID: 29381683

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Dataset Information

External validation of risk prediction models for incident colorectal cancer using UK Biobank.

Background

Methods

Results

Conclusions

Publications

External validation of risk prediction models for incident colorectal cancer using UK Biobank.

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