PREMM5 distinguishes sporadic from Lynch syndrome-associated MMR-deficient/MSI-high colorectal cancer

Leveraging Electronic Health Record Data to Understand Gaps Underlying the Underdiagnosis of Lynch Syndrome

“…Even once appropriate data are collected, however, there needs to be improved clinical decision support to help busy clinicians understand who, how, and when to refer for GGT; the EHR may help facilitate these decisions. 34,38 Clinical prediction models such as PREMM5 and MMRpro use relatively simple clinical data to numerically quantify an individual's likelihood of LS, 12,39,40 and the National Comprehensive Cancer Network guidelines recommend GGT for those with ≥2.5%-5.0% predicted probability of LS. 13 Our group has recently developed a patient-facing version of PREMM5 embedded within the EHR, through which patients submit the required data points (age, personal and family history of specific LS-related cancers) before a clinical visit.…”