Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research

By R. Riley, J. Hayden, Ewout W. Steyerberg, Karel G. M. Moons, K. Abrams, P. Kyzas, N. Malats, A. Briggs, Sara Schroter, Douglas G. Altman and 1 more. PLoS Medicine, 2013

748 citations recorded by the source corpus.

In the second article in the PROGRESS series on prognostic factor research, Sara Schroter and colleagues discuss the role of prognostic factors in current clinical practice, randomised trials, and developing new interventions, and explain why and how prognostic factor research should be improved.

Subfields: Epidemiology, Geriatrics and Gerontology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e9b5df712a356fa128aef21d43dd50d781be9993

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In Epidemiology

In Statistics and Probability

Citations in the corpus

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015, neutral): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor (5).”
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement (2015, neutral): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor (5).”
Effect of Ebola Progression in Liberia (2015, neutral): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor.(5) Doctors naturally integrate several patient characteristics and symptoms (predictors, test results) to make a prediction (see Figure 2 for Background—Prediction models are developed t”
Effect of Ebola Progression in Liberia (2015, neutral): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor (5).”
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement (2015, neutral): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor (Riley et al, 2013).”
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges (2016, methodology): “14 50 Subsequently, a developed model including predictor effects from one population might not perform well in a different population in which the magnitude of predictor effects are different because of the change in case mix, and use of different clinical, laboratory, and methodological standards.”
Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. (2015, neutral): “1.”
Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, methodology): “Survival curves can be plotted for risk groups derived from the model, analogous to those for different values of a single prognostic factor shown in paper 2 of this series [2].”
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015, background): “In both the diagnostic and prognostic setting, estimates of probabilities are rarely based on a single predictor [5].”
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2019, positive): “extend) a model for making individualised predictions are not covered by PROBAST.(6) Hence PROBAST is not intended for predictor finding studies and prediction model impact studies.”