2008
DOI: 10.1053/j.gastro.2007.10.042
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Validation and Extension of the PREMM1,2 Model in a Population-Based Cohort of Colorectal Cancer Patients

Abstract: SummaryBackground and aims-Early recognition of patients at risk for Lynch syndrome is critical but often difficult. Recently, a predictive algorithm -the PREMM 1,2 model-has been developed to quantify the risk of carrying a germline mutation in the mismatch repair (MMR) genes, MLH1 and MSH2. However, its performance in an unselected, population-based colorectal cancer population as well as its performance in combination with tumor MMR testing are unknown.

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Cited by 54 publications
(31 citation statements)
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References 25 publications
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“…However, because health care professionals were responsible for the clinical data provided, it is less likely that erroneous diagnoses were documented. Despite these shortcomings, the strong predictive effects as reported in our previous work using this study group (9) that have recently been validated in a population-based sample (20) are indicative that the information is likely to be reliable.…”
mentioning
confidence: 63%
“…However, because health care professionals were responsible for the clinical data provided, it is less likely that erroneous diagnoses were documented. Despite these shortcomings, the strong predictive effects as reported in our previous work using this study group (9) that have recently been validated in a population-based sample (20) are indicative that the information is likely to be reliable.…”
mentioning
confidence: 63%
“…Following validation of this model in an external population of patients with CRC, the authors suggest that if the model estimates a risk of deleterious mutation <5%, genetic studies should not be performed, whereas if the estimated risk is 5-19%, MSI and IHC should be performed. If the risk exceeds 20%, they suggest that MMR-associated genes should be studied directly [23].…”
Section: Predictive Modelsmentioning
confidence: 99%
“…Before being considered as useful in clinical practice, prognostic scores need to be validated, then implemented and ultimately adjusted to independent series. Such models should have enough performance and be simple so that they can be widely used at the bedside [15,16,17,18,19,20,21,22,23]. …”
Section: Discussionmentioning
confidence: 99%
“…As previously done [17,18,19,20,21], a 2 × 2 contingency table was used to estimate the performance of scores. Thus, and for each scoring system, we measured the rate of patients who died within 90 days among those allocated to the poor prognosis group and those assigned to the good prognosis group.…”
Section: Methodsmentioning
confidence: 99%