Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes

By Harry Hemingway, Peter Croft, Pablo Perel, J. Hayden, K. Abrams, A. Timmis, A. Briggs, R. Udumyan, Karel G. M. Moons, Ewout W. Steyerberg and 4 more. British medical journal, 2013

596 citations recorded by the source corpus.

Understanding and improving the prognosis of a disease or health condition is a priority in clinical research and practice. In this article, the authors introduce a framework of four interrelated themes in prognosis research, describe the importance of the first of these themes (understanding future outcomes in relation to current diagnostic and treatment practices), and introduce recommendations for the field of prognosis research

Subfields: Economics and Econometrics, Radiology, Nuclear Medicine and Imaging, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f11c436f2541d43792408e40d9fc1a617d502320

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Citations in the corpus

Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, background): “The first two papers in this series focus on the variability in prognostic endpoints given specific startpoints [1] and on the search for factors that are associated with these endpoints [2].”
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2019, unknown): “Round 6 refined the domains and introduced further optional guidance for the use of PROBAST.”
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges (2016, background): “13 This leads to differences across populations in the baseline risk, and thus the intercept (or baseline hazard rate; see fig 1 ) of a developed model might not be transportable from one population to another, leading to predicted risks that are systematically too low or too high.”
Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research (2013, background): “Prognostic factors thus distinguish groups of people with a different average prognosis and thus inform and enhance the basic prognosis summaries that were discussed for outcomes research in paper 1 of our series [2].”