What type of study is this?

This is a Systematic Review study (also classified as: Meta-Analysis).

Risk Prediction Models for Hospital Readmission After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis

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Systematic review finds moderate predictive performance in hospital readmission risk models for PCI patients, highlighting significant bias issues.

The combined AUROC curve for nine validated models was 0.80, suggesting moderate discrimination ability.
Ten studies incorporating 18 risk prediction models for hospital readmission following PCI were analyzed for biases.
Key predictive factors identified include age, diabetes, concurrent heart failure, and chronic lung disease.
Most included studies have a high risk of bias, particularly related to deficiencies in data analysis.

Mao et al. (2025) studied this question.

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View Full Paper

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Authors

Systematic review finds moderate predictive performance in hospital readmission risk models for PCI patients, highlighting significant bias issues.

The combined AUROC curve for nine validated models was 0.80, suggesting moderate discrimination ability.
Ten studies incorporating 18 risk prediction models for hospital readmission following PCI were analyzed for biases.
Key predictive factors identified include age, diabetes, concurrent heart failure, and chronic lung disease.
Most included studies have a high risk of bias, particularly related to deficiencies in data analysis.

Mao et al. (2025) studied this question.

View Full Paper

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Bookmark