Assessing Bias in Studies of Prognostic Factors (original) (raw)

2013, Annals of Internal Medicine

AI-generated Abstract

Well-conducted prognostic research is vital for clinical decision making, enabling informed patient outcomes and tailored management strategies. However, many studies exhibit methodological flaws that can bias results. This article emphasizes the need for rigorous critical appraisal of prognostic studies through the Quality In Prognosis Studies (QUIPS) tool, which assesses biases related to study participation, attrition, measurement validity, confounding, and outcome analysis. The paper outlines the QUIPS framework and its application for identifying and mitigating biases in prognostic research.