A comprehensive model considering patient age, diabetes, colonoscopy indications, and polyp findings can predict colorectal cancer (CRC) risk more accurately than the solely polyp-based model in ...
A prediction model using age, body mass index, lifestyle, waist circumference, and family history had high accuracy when used to predict colorectal cancer (CRC) in China. A nomogram model was able to ...
A simple, user-friendly decision-making model that used self-reported information was able to perform well in outpatient decision-making for patients with colorectal cancer (CRC). CRC is the second ...
Impact of expression of metabolic genes on patient (pts) outcomes in metastatic colorectal cancer (mCRC): Data from CALGB/SWOG 80405 (Alliance). This is an ASCO Meeting Abstract from the 2025 ASCO ...
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