Translating Clinical Research into Clinical Practice: Impact of Using Prediction Rules To Make Decisions
By B. Reilly, A. Evans. 2006
806 citations recorded by the source corpus.
Subfields: General Health Professions, Public Health, Environmental and Occupational Health, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
- Gary S. Collins
- Karel G. M. Moons
- Johannes B Reitsma
- Douglas G. Altman
- Y. Vergouwe
- R. Riley
- Patrick Royston
- Patrick M. M. Bossuyt
In Public Health, Environmental and Occupational Health
- Karel G. M. Moons
- Douglas G. Altman
- Gary S. Collins
- Johannes B Reitsma
- Y. Vergouwe
- Patrick Royston
- Ewout W. Steyerberg
- R. Riley
In Statistics and Probability
- Karel G. M. Moons
- Gary S. Collins
- Douglas G. Altman
- Johannes B Reitsma
- Ewout W. Steyerberg
- Y. Vergouwe
- R. Riley
- Patrick Royston
Citations in the corpus
- Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. (2015, neutral): “…in secondary care and assessed in similar participants but selected from primary care); or even in other types of participants (for example, model developed in adults and assessed in children, or developed for predicting fatal events and assessed for predicting nonfatal events) [13,15,17,21,22].”
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015, neutral): “External validation may use participant data collected by the same investigators, typically using the same predictor and outcome definitions and measurements, but sampled from a later period (temporal or narrow validation); by other investigators in another hospital or country, sometimes using diffe”
- Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014, background): “Several strategies exist depending on the availability of data, but are broadly categorised as internal and external validation [1,32,49,51,56,58,59,129].”
- Development and validation of the Emergency Department Assessment of Chest pain Score and 2 h accelerated diagnostic protocol (2014, background): “Evaluation of sensibility requires judgment rather than statistical methods.(23) A sensible rule is easy to use, and has content and face validities.”
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015, methodology): “External validation may use participant data collected by the same investigators, typically using the same predictor and outcome definitions and measurements, but sampled from a later period (temporal or narrow validation); by other investigators in another hospital or country, sometimes using diffe”
- Effect of Ebola Progression in Liberia (2015, neutral): “External validation may use participant data collected by the same investigators, typically using the same predictor and outcome definitions and measurements, but sampled from a later period (temporal or narrow validation); by other investigators in another hospital or country, sometimes using diffe”
- Risk prediction models: II. External validation, model updating, and impact assessment (2012, background): “A subtle variant to the beforeeafter approach, and therefore sharing the same limitations, is the ‘oneoff ’ impact study where the outcome is measured in alternating time periods when the prediction model is or is not available in a particular centre.(21) Here, a problem is that the practising care ”
- Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, background): “Other factors that might be associated with use of prognostic models in practice include the complexity of the model (a few or many prognostic factors) [29], the format of the model (as a score chart on paper, web based, or as standard part of an electronic patient record), the use of cut-off values”
- Predicting Outcome after Traumatic Brain Injury: Development and International Validation of Prognostic Scores Based on Admission Characteristics (2008, background): “Many models lack external validation, which is essential before the broad application of a model can be advised [9,10].”
- Assessing the performance of prediction models: a framework for some traditional and novel measures (2010, methodology): “This requires formulation of a model as a simple decision rule.(65)”
- Effect of Ebola Progression in Liberia (2015, neutral): “External validation may use participant data collected by the same investigators, typically using the same predictor and outcome definitions and measurements, but sampled from a later period (temporal or narrow validation); by other investigators in another hospital or country, sometimes using diffe”