Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement

Prediction models are developed to aid healthcare providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision‐making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed.

[1]  John P A Ioannidis,et al.  Comparisons of established risk prediction models for cardiovascular disease: systematic review , 2012, BMJ : British Medical Journal.

[2]  S. Nashef,et al.  Eurp-pean system for cardiac operative risk evaluation (Euro SCORE) , 1999 .

[3]  E. Steyerberg,et al.  Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research , 2013, PLoS medicine.

[4]  Gary S Collins,et al.  A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods. , 2013, Journal of clinical epidemiology.

[5]  D. Rennie,et al.  Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. , 2007, Annals of internal medicine.

[6]  大堀 理,et al.  Memorial Sloan-Kettering Cancer Center , 2020, Definitions.

[7]  Douglas G Altman,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. , 2014, International journal of surgery.

[8]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: what, why, and how? , 2009, BMJ : British Medical Journal.

[9]  David M Kent,et al.  Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis , 2006, BMC medical research methodology.

[10]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: validating a prognostic model , 2009, BMJ : British Medical Journal.

[11]  G. Collins,et al.  Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting , 2011, BMC medicine.

[12]  Ewout W. Steyerberg,et al.  Application of Shrinkage Techniques in Logistic Regression Analysis: A Case Study , 2001 .

[13]  J. Knottnerus Diagnostic prediction rules: principles, requirements and pitfalls. , 1995, Primary care.

[14]  Ewout W Steyerberg,et al.  Estimating treatment effects for individual patients based on the results of randomised clinical trials , 2011, BMJ : British Medical Journal.

[15]  A. Laupacis,et al.  Clinical prediction rules. A review and suggested modifications of methodological standards. , 1997, JAMA.

[16]  Diagnostic prediction rules: principles, requirements and pitfalls. , 1995 .

[17]  Gary S Collins,et al.  Conflicts at the heart of the FRAX tool , 2014, Canadian Medical Association Journal.

[18]  R. Blamey,et al.  A prognostic index in primary breast cancer. , 1982, British Journal of Cancer.

[19]  Ewout W Steyerberg,et al.  Internal and external validation of predictive models: a simulation study of bias and precision in small samples. , 2003, Journal of clinical epidemiology.

[20]  S. Goodman,et al.  Reproducible Research: Moving toward Research the Public Can Really Trust , 2007, Annals of Internal Medicine.

[21]  S. Lemeshow,et al.  European system for cardiac operative risk evaluation (EuroSCORE). , 1999, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[22]  Hester F. Lingsma,et al.  Assessing the incremental value of diagnostic and prognostic markers: a review and illustration , 2012, European journal of clinical investigation.

[23]  Richard D Riley,et al.  Ten steps towards improving prognosis research , 2009, BMJ : British Medical Journal.

[24]  C.J.H. Mann,et al.  Clinical Prediction Models: A Practical Approach to Development, Validation and Updating , 2009 .

[25]  N. Tangri,et al.  A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods. , 2013, Journal of Clinical Epidemiology.

[26]  K. Anderson,et al.  Cardiovascular disease risk profiles. , 1991, American heart journal.

[27]  Jennifer G. Robinson,et al.  2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines , 2014, Circulation.

[28]  Gary S Collins,et al.  Comparing risk prediction models , 2012, BMJ : British Medical Journal.

[29]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2010, International journal of surgery.

[30]  Brian H. Rowe,et al.  Canadian C-Spine Rule study for alert and stable trauma patients: I. Background and rationale. , 2002, CJEM.

[31]  Gary S Collins,et al.  Fracture Risk Assessment: State of the Art, Methodologically Unsound, or Poorly Reported? , 2012, Current Osteoporosis Reports.

[32]  M. Woodward,et al.  Risk prediction models: II. External validation, model updating, and impact assessment , 2012, Heart.

[33]  Tony Tse,et al.  Registration of observational studies: Is it time? , 2010, Canadian Medical Association Journal.

[34]  A. Nierich,et al.  Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery: Systematic Review and Validation Study , 2010, Circulation.

[35]  Douglas G Altman,et al.  Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration , 2012, BMC Medicine.

[36]  M. Woodward,et al.  Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker , 2012, Heart.

[37]  Patrick Royston,et al.  Reporting methods in studies developing prognostic models in cancer: a review , 2010, BMC medicine.

[38]  Jennifer G. Robinson,et al.  2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines , 2014, Circulation.

[39]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: Developing a prognostic model , 2009, BMJ : British Medical Journal.

[40]  John P. A. Ioannidis,et al.  Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration , 2011, European Journal of Human Genetics.

[41]  P. Royston,et al.  Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.

[42]  M. Drazner,et al.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. , 2013, Journal of the American College of Cardiology.

[43]  K. Covinsky,et al.  Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.

[44]  A. Evans,et al.  Translating Clinical Research into Clinical Practice: Impact of Using Prediction Rules To Make Decisions , 2006, Annals of Internal Medicine.

[45]  Gary S Collins,et al.  Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration , 2015, Annals of Internal Medicine.

[46]  J. Ioannidis,et al.  Use of reclassification for assessment of improved prediction: an empirical evaluation. , 2011, International journal of epidemiology.

[47]  J. L. Gall,et al.  A simplified acute physiology score for ICU patients , 1984, Critical care medicine.

[48]  Brian H. Rowe,et al.  Canadian C-Spine Rule study for alert and stable trauma patients: II. Study objectives and methodology. , 2002, CJEM.

[49]  G. Collins,et al.  External validation of multivariable prediction models: a systematic review of methodological conduct and reporting , 2014, BMC Medical Research Methodology.

[50]  S. Pocock,et al.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration , 2007, PLoS medicine.

[51]  J. Habbema,et al.  Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. , 2001, Journal of clinical epidemiology.

[52]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. , 2007, Preventive medicine.

[53]  et al.,et al.  Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs) , 2011, BMC Medical Informatics Decis. Mak..

[54]  W. Sauerbrei,et al.  Reporting recommendations for tumor marker prognostic studies (REMARK). , 2005, Journal of the National Cancer Institute.

[55]  J. Ioannidis,et al.  STrengthening the REporting of Genetic Association Studies (STREGA)--an extension of the STROBE statement. , 2009, Genetic epidemiology.

[56]  E. Steyerberg,et al.  Reporting and Methods in Clinical Prediction Research: A Systematic Review , 2012, PLoS medicine.

[57]  J. Ioannidis,et al.  Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement , 2009, European Journal of Epidemiology.

[58]  D. Rennie,et al.  Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative , 2003, BMJ : British Medical Journal.

[59]  D. Moher,et al.  Guidance for Developers of Health Research Reporting Guidelines , 2010, PLoS medicine.

[60]  Silvia Rabar,et al.  Risk assessment of fragility fractures: summary of NICE guidance , 2012, BMJ : British Medical Journal.

[61]  E. Steyerberg,et al.  Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research , 2013, PLoS medicine.

[62]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, The Lancet.

[63]  I. Stiell,et al.  A study to develop clinical decision rules for the use of radiography in acute ankle injuries. , 1992, Annals of emergency medicine.

[64]  G. Collins,et al.  Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.

[65]  Ewout W Steyerberg,et al.  Developing and evaluating prediction models in rehabilitation populations. , 2012, Archives of physical medicine and rehabilitation.