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

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Annals of Internal Medicine

• Publication date

  2015-01-06

• Fields of study

  Medicine

• Identifiers
  DOI 10.7326/M14-0697PMID 25560714
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

  2015influential reference
• Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD)

  2015cited by this paper
• External validation of multivariable prediction models: a systematic review of methodological conduct and reporting

  2014cited by this paper
• 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.

  2014cited by this paper
• Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

  2014cited by this paper
• 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

  2014cited by this paper
• Conflicts at the heart of the FRAX tool

  2014cited by this paper
• Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research

  2013cited by this paper
• A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods.

  2013cited by this paper
• Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

  2013cited by this paper
• Risk assessment of fragility fractures: summary of NICE guidance

  2012cited by this paper
• Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration

  2012cited by this paper
• Fracture Risk Assessment: State of the Art, Methodologically Unsound, or Poorly Reported?

  2012cited by this paper
• Developing and evaluating prediction models in rehabilitation populations.

  2012cited by this paper
• Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration

  2012cited by this paper
• Reporting and Methods in Clinical Prediction Research: A Systematic Review

  2012cited by this paper
• Comparing risk prediction models

  2012cited by this paper
• Risk prediction models: II. External validation, model updating, and impact assessment

  2012influential reference
• Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

  2012influential reference
• Comparisons of established risk prediction models for cardiovascular disease: systematic review

  2012cited by this paper
• Strengthening the reporting of genetic risk prediction studies: the GRIPS statement

  2011cited by this paper
• Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting

  2011cited by this paper
• Strengthening the reporting of genetic risk prediction studies: the GRIPS statement

  2011cited by this paper
• Assessing the incremental value of diagnostic and prognostic markers: a review and illustration

  2011cited by this paper
• Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs)

  2011cited by this paper
• Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration

  2011cited by this paper
• Estimating treatment effects for individual patients based on the results of randomised clinical trials

  2011cited by this paper
• Use of reclassification for assessment of improved prediction: an empirical evaluation.

  2011cited by this paper
• Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

  2010cited by this paper
• Reporting methods in studies developing prognostic models in cancer: a review

  2010cited by this paper
• Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery: Systematic Review and Validation Study

  2010cited by this paper
• Registration of observational studies: Is it time?

  2010cited by this paper
• Guidance for Developers of Health Research Reporting Guidelines

  2010cited by this paper
• Prognosis and prognostic research: what, why, and how?

  2009cited by this paper
• Prognosis and prognostic research: validating a prognostic model

  2009cited by this paper
• Prognosis and prognostic research: Developing a prognostic model

  2009cited by this paper
• Ten steps towards improving prognosis research

  2009cited by this paper
• Prognosis and prognostic research: application and impact of prognostic models in clinical practice

  2009cited by this paper
• Clinical Prediction Models—a Practical Approach to Development, Validation and Updating

  2009cited by this paper
• Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

  2009cited by this paper
• Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies

  2007cited by this paper
• Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

  2007cited by this paper
• Reproducible Research: Moving toward Research the Public Can Really Trust

  2007cited by this paper
• Translating Clinical Research into Clinical Practice: Impact of Using Prediction Rules To Make Decisions

  2006cited by this paper
• Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis

  2006cited by this paper
• REporting recommendations for tumor MARKer prognostic studies (REMARK)

  2005cited by this paper
• Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative.

  2003cited by this paper
• Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative

  2003cited by this paper
• Internal and external validation of predictive models: a simulation study of bias and precision in small samples.

  2003cited by this paper
• Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.

  2003cited by this paper
• Canadian C-Spine Rule study for alert and stable trauma patients: I. Background and rationale.

  2002cited by this paper
• Canadian C-Spine Rule study for alert and stable trauma patients: II. Study objectives and methodology.

  2002cited by this paper
• Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

  2001cited by this paper
• Application of Shrinkage Techniques in Logistic Regression Analysis: A Case Study

  2001cited by this paper
• European system for cardiac operative risk evaluation (EuroSCORE).

  1999cited by this paper
• Assessing the Generalizability of Prognostic Information

  1999cited by this paper
• Eurp-pean system for cardiac operative risk evaluation (Euro SCORE)

  1999cited by this paper
• Clinical prediction rules. A review and suggested modifications of methodological standards.

  1997cited by this paper
• Diagnostic prediction rules: principles, requirements and pitfalls.

  1995cited by this paper
• Diagnostic prediction rules: principles, requirements and pitfalls.

  1995cited by this paper
• A study to develop clinical decision rules for the use of radiography in acute ankle injuries.

  1992cited by this paper
• Cardiovascular disease risk profiles.

  1991influential reference
• A simplified acute physiology score for ICU patients

  1984cited by this paper
• A prognostic index in primary breast cancer.

  1982cited by this paper
• Guidelines and Guidance Strengthening the Reporting of Genetic Association Studies (strega)— an Extension of the Strobe Statement the Guidelines and Guidance Section Contains Advice on Conducting and Reporting Genotyping Errors Population Stratification

  year unknowncited by this paper

• Predicting chronic subdural hematoma risk in elderly patients with mild traumatic brain injury

  2026cites this paper
• MedROAD V2: An AI-Integrated Electronic Medical Record System with Advanced Clinical Decision Support

  2026influential citation
• Reproducing real-world clinical prediction models using the DIVE platform: A comparative validation study across three chronic diseases

  2026cites this paper
• Ethical dilemmas in the use of artificial intelligence in transfusion medicine.

  2026cites this paper
• Potential biomarkers for early periodontal inflammation: investigating CD5+ B cells, salivary cytokines and oral microbiome

  2026cites this paper
• External validation and logistic recalibration of POSSUM and P-POSSUM for predicting postoperative morbidity and mortality after elective hepatic resection

  2026influential citation
• Artificial intelligence-assisted CCTA for coronary stenosis detection: Diagnostic promise, methodological nuances, and directions for clinical translation.

  2026cites this paper
• An online non-radiographic osteoporosis prediction calculator constructed using interpretable machine learning

  2026cites this paper
• Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables

  2026cites this paper
• Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review

  2026cites this paper
• Diet, gut microbiome, and cognition in neurodegeneration: a review and methodological framework

  2026cites this paper
• AIM2 inflammasome and pyroptosis biomarkers in oncology.

  2026cites this paper
• Development of a nomogram to predict the functional independence of activities of daily living in patients undergoing lumbosacral spine surgery: a retrospective study in Thailand.

  2026influential citation
• Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain

  2026cites this paper
• Toward Personalized Neuromodulation: Nomogram Models Forecasting Long-Term Response After Temporary Peripheral Nerve Stimulation.

  2026cites this paper
• Commentary on "Clinical management implications from 33 579 urinary stones: Novel patterns in composition, comorbidities, seasonal variation, and machine learning-based urosepsis prediction".

  2026cites this paper
• A clinical-molecular nomogram for predicting early recurrence following resection of initially unresectable colorectal liver metastases

  2026cites this paper
• Evaluating methodological quality of prognostic prediction models on patient-reported outcome measurements after total hip and total knee arthroplasty

  2026cites this paper
• Methodological and reporting considerations in real-world anamarin studies of gastric cancer-related cachexia

  2026cites this paper
• Retrospective study on affecting factors and predictive model for guide wire failure to pass through the foramen ovale in PFO patients during interventional closure

  2026cites this paper
• Is Systematic Biopsy Mandatory in All MRI-Guided Fusion Prostate Biopsies? A Machine Learning Prediction Model

  2026cites this paper
• Progress in sepsis prediction models: from traditional scoring systems to multimodal intelligence and clinical translation.

  2026cites this paper
• External validation of the Phoenix Sepsis Score in Singapore: a retrospective cohort study

  2026cites this paper
• Upper Gastrointestinal Bleeding in Cirrhosis: Differential Performance of Risk Scores for In-Hospital Mortality and Intensive Care Unit Triage Decisions.

  2026cites this paper
• Risk prediction models for refeeding syndrome in critically ill adults: A systematic review.

  2026cites this paper
• Integrating B-mode ultrasound radiomics and clinical variables to predict 26-week progression-free survival in advanced hepatocellular carcinoma under targeted immunotherapy.

  2026cites this paper
• Role of preoperative serum CA-125 and fibrinogen levels in predicting lymph node metastasis, myometrial invasion, and lymphovascular space invasion in patients with endometrial cancer.

  2026cites this paper
• Prognostic models for mortality and hospitalisation risk in a contemporary Australian chronic obstructive pulmonary disease cohort.

  2026cites this paper
• Operationalizing wellness in physiotherapy: development and validation of a 0-100 wellness physical therapy index from a national population survey.

  2026cites this paper
• Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression.

  2026cites this paper
• Response to Chen and Liu regarding correspondence to "Development of a prediction model for progression of rheumatoid arthritis-associated interstitial lung disease using serologic and clinical factors: The prospective KORAIL cohort".

  2026cites this paper
• Integrating Bayesian Inference and Machine Learning to Evaluate TAP and Trypsin-2 as Early Biomarkers of Systemic Inflammation in Acute Pancreatitis

  2026cites this paper
• Surgical outcomes after neoadjuvant avelumab with or without chemotherapy for Muscle-Invasive bladder cancer: a Post-Hoc analysis of the aura trial (Oncodistinct-004)

  2026cites this paper
• Artificial Intelligence for Diagnostic Pathology in Nephrology.

  2026cites this paper
• Swin Transformer–based intelligent fracture classification and radiographic assessment to support clinical decision-making

  2026cites this paper
• Artificial Intelligence for Predicting Treatment Response in Neovascular Age Macular Degeneration with Anti-VEGF: A Systematic Review and Meta-Analysis

  2026cites this paper
• Impact of ethnicity on long-term mortality following hospitalization for acute decompensated heart failure: a retrospective cohort study

  2026cites this paper
• Strengthening Chronic Kidney Disease Prevention Through Predictive Profiling: Implications for Public Health Policy

  2026cites this paper
• Development and temporal validation of an odds ratio-weighted prognostic score (NPH-RKP) for idiopathic normal pressure hydrocephalus shunt surgery: a retrospective cohort study.

  2026cites this paper
• Prognostic models for all‐cause and cardiovascular mortality in type 2 diabetes: Systematic review

  2026cites this paper
• Transparency of reporting and methodological conduct of prognostic and diagnostic clinical prediction models developed using machine learning in total shoulder arthroplasty: A systematic review and critical appraisal.

  2026cites this paper
• Machine learning for predicting outcomes, complications and resource utilisation after hip arthroscopy: A systematic review.

  2026cites this paper
• Application of XGBoost and logistic regression in predicting 90 days mortality for elderly severe acute renal failure patients

  2026cites this paper
• Prediction models for maltreatment risk: TRIPOD/PROBAST compliance, calibration, and fairness-A systematic review.

  2026cites this paper
• Protocol for development of a reporting guideline (TRIPOD-Code) for code repositories associated with diagnostic and prognostic prediction model studies

  2026cites this paper
• Machine learning-based prediction of IVF/ICSI outcomes in male factor infertility highlighting couple-level BMI.

  2026cites this paper
• Clinically interpretable machine-learning model for predicting heart mean dose using simple BEV-based metrics.

  2026cites this paper
• Digital Twins in Neonatology: Current Applications and Future Directions: A Narrative Review

  2026cites this paper
• Clinical prediction models: from foundational concepts to practical application

  2026cites this paper
• The Suspected Cauda Equina Syndrome Score (SuCESS) : development and validation of a clinical triage tool.

  2026cites this paper
• Oral microbiome dysbiosis in autism spectrum disorder: the oral-gut-brain axis and future perspectives: a narrative review

  2026cites this paper
• Prediction models for high-grade cervical lesions or worse using machine learning

  2026cites this paper
• Pilli Kai Score: A Proposed Digital Twin Framework Integrating Radiomics and Biomarkers for Enhanced Lung Nodule Risk Stratification

  2026cites this paper
• Machine learning in psychiatric risk prediction: Beyond accuracy toward clinical responsibility.

  2026cites this paper
• Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease.

  2026cites this paper
• Development and validation of a diagnostic model for obstructive sleep apnea

  2026cites this paper
• An Integrated Clinical and Biomarker Model Using Penalized Regression to Predict In-Hospital Mortality in Acute Pulmonary Embolism

  2026cites this paper
• Development and validation of an interpretable machine learning model for predicting the risk of 8-year all-cause mortality in Cardiovascular-Kidney-Metabolic Syndrome among older adults: A multicenter and cohort study

  2026cites this paper
• Bias and Oversight in Clinical AI: A Review of Decision Support Tools and Equity Frameworks.

  2026cites this paper
• Comparison of the predictive performance of machine learning and conventional logistic regression models for poor discharge outcomes in patients with Aneurysmal subarachnoid hemorrhage: A retrospective cohort study

  2026cites this paper
• Diagnostic tests for ovarian cancer in premenopausal women with non-specific symptoms (ROCkeTS): prospective, multicentre, cohort study

  2026cites this paper
• A clinicopathological and spatial feature-based nomogram for individualized prediction of axillary lymph node involvement in breast cancer

  2026cites this paper
• MICE based enhanced TabNet modeling for CVD risk prediction in T2DM patients: A graph-based approach with KS validated SMOTE and class weight optimization

  2026cites this paper
• Clinical prediction model of Mycoplasma pneumoniae pneumonia combined with influenza virus infection in pediatric patients in Gansu, China

  2026cites this paper
• To develop a machine learning-based model for predicting the risk of gastrointestinal bleeding in patients with spontaneous intracerebral hemorrhage

  2026cites this paper
• Interpreting Neonatal hyperCKemia Identified Through Duchenne Muscular Dystrophy Newborn Screening: A Predictive Model Based on Maternal, Labor, Delivery and Newborn Factors

  2026cites this paper
• A novel interpretable machine learning framework integrating clinicopathological and radiomic features for early recurrence prediction in mass-forming intrahepatic cholangiocarcinoma

  2026cites this paper
• Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

  2026cites this paper
• Systematic literature reviews in trauma research: what is important to know?

  2026cites this paper
• Predictors of miscarriage in polycystic ovary syndrome patients with threatened abortion: development and validation of a nomogram model

  2026cites this paper
• Predictors of achieving clinical remission in ACPA-positive RA-patients treated with abatacept and methotrexate and methotrexate monotherapy: a post-hoc analysis of the AVERT and AVERT-II trials.

  2026cites this paper
• Predicting Long-Term Pain Resilience in Knee Osteoarthritis: An Osteoarthritis Initiative Nomogram

  2026cites this paper
• Pretreatment MRI radiomics for predicting pathological Miller-Payne grading in breast cancer following neoadjuvant chemotherapy

  2026cites this paper
• MetsObesity: a novel classification system for predicting 15-year cardiovascular risk in the UK Biobank population.

  2026cites this paper
• Preoperative malnutrition and risk of re-revision and mortality following revision arthroplasty - Correspondence.

  2026cites this paper
• Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review

  2026cites this paper
• Predicting end-of-life in older women with heart failure: development and internal validation of clinically actionable prognostic models using routinely collected national data

  2026cites this paper
• What Matters for Prediction? Leukocyte Count and Risk Stratification in Pulmonary Embolism

  2026cites this paper
• Developing and Validating Models to Predict Suboptimal Early Glycemic Control Among Individuals With Younger Onset Type 2 Diabetes.

  2025cites this paper
• Diagnostic model for distinguishing fresh or old osteoporotic vertebral compression fractures based on modified computed tomography window: a retrospective cohort study

  2025cites this paper
• Acute pulmonary embolism: a multimarker calculator to predict short-term outcomes.

  2025cites this paper
• Construction and Validation of a Risk Prediction Model for Early Severe Intraventricular Hemorrhage in Very Low Birth Weight Infants

  2025cites this paper
• Age and Saving Lives in Crisis Standards of Care: A Multicenter Cohort Study of Triage Score Prognostic Accuracy

  2025cites this paper
• Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study

  2025cites this paper
• Patient Involvement and Methodological Considerations in the UGIC Endoscopy Screening Cluster Trial.

  2025cites this paper
• Uncertainties in outcome modelling in radiation oncology

  2025cites this paper
• A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort

  2025cites this paper
• Artificial intelligence survival models for identifying relevant risk factors for incident diabetes in Azar cohort population

  2025cites this paper
• Machine Learning-Based Prediction Model for Multidrug-Resistant Organisms Infections: Performance Evaluation and Interpretability Analysis

  2025cites this paper
• Does the UK DCD Risk Score have statistical flaws?

  2025cites this paper
• Estimating the 5-Year Publication Potential for Grant Awardees: Analysis of the Peer Reviewed Orthopaedic Research Program.

  2025cites this paper
• Prediction of 90-day mortality among cancer patients with unplanned hospitalisation: a retrospective validation study of three prognostic scores

  2025cites this paper
• Development of a dynamic prediction model with the inclusion of time-dependent inflammatory biomarker enhances recurrence prediction after curative surgery for stage II or III gastric cancer

  2025cites this paper
• Anti-factor Xa during unfractionated heparin therapy in critically ill patients: Development of prediction models using machine learning

  2025cites this paper
• External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)

  2025cites this paper
• Development of clinical inflammatory models to predict the efficacy of neoadjuvant chemoradiotherapy and survival in patients with locally advanced rectal cancer: a retrospective study

  2025cites this paper
• Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the characterisation and management of childhood brain tumours

  2025cites this paper
• A Systematic Review of Mortality Risk Prediction Models for Idiopathic Pulmonary Fibrosis.

  2025cites this paper
• Can 3-month models or observed 3- or 6-month patient-reported outcome measures accurately predict 12-month disability and pain after lumbar decompressive surgery?

  2025cites this paper
• Developing a machine learning-based prediction model for postinduction hypotension

  2025cites this paper