What question did this study set out to answer?

To investigate the limitations of the C statistic in predicting clinical events and identify alternative measures.

November 17, 2025European Journal of Clinical Investigation

The conservativeness of standard C statistics in the prediction of clinical events

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To investigate the limitations of the C statistic in predicting clinical events and identify alternative measures.
Evaluated the C statistic and its role in risk prediction models.
Discussed the limitations of the C statistic in the context of oncology and cardiovascular medicine.
Compared alternative metrics for assessing predictive accuracy.
Identified that the C statistic is often insensitive to improvements in model performance.
Noted alternatives like Brier score provide additional insights into predictive accuracy.
Emphasized the need for integrating multiple measures for effective risk stratification.

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Implication

Analysis shows the concordance index is conservative in assessing risk prediction models, suggesting better metrics may enhance precision medicine practices.

Cite This Study

Zoccali et al. (2025) studied this question.

synapsesocial.com/papers/692509eec0ce034ddc352aa4 https://doi.org/10.1111/eci.70150

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Implication

Analysis shows the concordance index is conservative in assessing risk prediction models, suggesting better metrics may enhance precision medicine practices.

The conservativeness of standard C statistics in the prediction of clinical events

Key Points

Discussion

Implication

Cite This Study

The conservativeness of standard C statistics in the prediction of clinical events

Key Points

Discussion

Implication

Cite This Study

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