Reporting Quality And Risk Of Bias In Systematic Reviews Of Clinical Prediction Models : A Critical Review Of 1004 Studies - Info and Reading Options
By Mei Zhang
“Reporting Quality And Risk Of Bias In Systematic Reviews Of Clinical Prediction Models : A Critical Review Of 1004 Studies” Metadata:
- Title: ➤ Reporting Quality And Risk Of Bias In Systematic Reviews Of Clinical Prediction Models : A Critical Review Of 1004 Studies
- Author: Mei Zhang
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- Internet Archive ID: osf-registrations-h6j5a-v1
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Clinical prediction models(CPMs) are used to predict health-related outcomes for individual patients and are defined as any combination of two or more predictors (variables, characteristics) used to estimate the probability or risk of an individual having a specific outcome (diagnosis) or developing a specific outcome (prognosis).1-3Properly conducted and adequately reported CPMs studies are crucial for the effective implementation of these models in clinical practice and can help clinicians make the best evidence-based decisions.4 The rise of modern data-driven modeling techniques has advanced the development of CPMs research in biomedical literature, leading to the rapid emergence of studies. Despite extensive research, the number of these models used in clinical practice is very limited, contributing to research waste.5 The primary reason for this is the uneven quality of reporting and methodology in CPMs studies, with some publications highlighting concerns about methodological quality.6-8 Deficiencies in study design, methodology, conduct, and analysis may lead to a high risk of research bias, resulting in skewed estimates of the model's predictive performance, thus reducing its accuracy and applicability.9 10 Using CPMs with high risk of bias can lead to unnecessary or inadequate interventions, adversely affecting patient health and health systems. Aims Therefore, the purpose of study was to synthesize and rigorously assess the risk of bias and completeness of the reporting in SRs of CPMs models and to reveal the current status so that some of the limitations and challenges can be observed clearly in the process of conducting and reporting an SR of CPMs.
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