However, to avoid the well-recognized biases associated with univariate screening (e.g., potential omission of important confounders with borderline significance, overfitting, and exaggerated effect estimates), we also forced clinically essential variables (e.g., age) into the multivariable model regardless of their univariate p -value, and we considered clinical relevance from prior literature as an additional criterion.
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Analysis of risk factors for heart failure in patients with type 2 diabetes mellitus and acute ST-segment elevation myocardial infarction after percutaneous coronary intervention.
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