Risk Prediction Models for Colorectal Neoplasia After Polypectomy
Author Information
Author(s): James H‐E Kang, Emma Levine, Alex Fleet, Stephen Padilla, Jeffrey K Lee, Hannah Harrison, Juliet A Usher‐Smith
Primary Institution: Department of Public Health and Primary Care, University of Cambridge
Hypothesis
Can existing risk models accurately predict the occurrence of metachronous advanced colorectal neoplasia after polypectomy?
Conclusion
Several published models predicting metachronous advanced colorectal neoplasia risk showed some promise, but methodological limitations and a high risk of bias were observed.
Supporting Evidence
- Nine studies describing risk models for metachronous advanced colorectal neoplasia were identified.
- Six models were internally validated and two were externally validated.
- Good model discrimination was reported for two models during internal validation.
- Calibration was acceptable when assessed in four studies.
- Methodological limitations and a high risk of bias were observed for all studies.
Takeaway
This study looked at different ways to predict if someone will develop advanced colorectal cancer after having polyps removed. Some methods seem good, but they need to be tested more.
Methodology
The study involved a systematic review of published risk models, including data extraction and risk of bias assessment by two independent researchers.
Potential Biases
High risk of bias was present in all studies, particularly in the analysis domain due to issues with variable categorization and handling of missing data.
Limitations
All studies exhibited methodological limitations and a high risk of bias, with many not representative of the general population undergoing surveillance.
Participant Demographics
The study populations included both sexes, with some studies having a predominance of male participants.
Digital Object Identifier (DOI)
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