Systematic review reveals high risk of bias in prognostic models for cancer-specific mortality in renal cancer patients, indicating a need for improved models.
Key Points
Most studies reviewed displayed a high risk of bias, impacting the reliability of mortality predictions in renal cancer.
40 studies were analyzed, revealing that only 40% demonstrated good applicability for predicting cancer-specific mortality.
Systematic reviews utilized CHARMS and PROBAST frameworks to assess the quality and applicability of prognostic models.
Cox regression was commonly used, but many studies failed to address critical issues like missing data and model assumptions.
Cite This Study
Martínez-Cayuelas et al. (2025) studied this question.