ArticleBritish journal of cancer2015
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.
Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 3,343 citations in OpenAlex.
- Predictive models of Alzheimer's disease dementia risk in older adults with mild cognitive impairment: a systematic review and critical appraisal.BMC geriatrics · 2024Pooled it
- Pooled it
- Tools for predicting patient-reported outcomes in prostate cancer patients undergoing radical prostatectomy: a systematic review of prognostic accuracy and validity.Prostate cancer and prostatic diseases · 2017Pooled it
- An appraisal of analytical tools used in predicting clinical outcomes following radiation therapy treatment of men with prostate cancer: a systematic review.Radiation oncology (London, England) · 2017Pooled it
- Nomogram to Predict the Benefit of Intensive Treatment for Locoregionally Advanced Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Trial
- Prognostic nomogram and score to predict overall survival in locally advanced untreated pancreatic cancer (PROLAP).British journal of cancer · 2016Trial
- The landscape of peripheral blood RNA modifications and its clinical implications for diagnosis of hepatocellular carcinoma.Cell communication and signaling : CCS · 2026Article
- Reconsidering Outcome Ascertainment, Anticoagulation Exposure, and Model Reliability in Predicting Recurrent VTE Readmission.Nursing & health sciences · 2026Article
- Construction and Validation of a Progression-Free Survival Prediction Model for Newly Diagnosed Multiple Myeloma Patients With 1q21 Gain/Amplification.Cancer medicine · 2026Article
- Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Longitudinal bilateral parotid delta-radiomic kinetics and variance signatures for prediction of late xerostomia following radiotherapy.BMC medical imaging · 2026Article
- Preoperative prediction of pathological pelvic lymph node metastasis in prostate cancer using an elastic net model integrating clinicopathologic andScientific reports · 2026Article
- Oral Health and Gut-Targeted Microbial Marker Changes Associated with Prolonged Hospitalization in Cardiac Patients: An Integrative Risk Analysis.Life (Basel, Switzerland) · 2026Article
- Objective diagnosis and treatment outcome prediction in major depressive disorder based on a machine learning framework with dried-serum NIRS digital biomarkers.BMC psychiatry · 2026Article
- Diagnostic accuracy of combinatorial mRNA biomarkers for non-invasive detection and therapy monitoring of oral and oropharyngeal SCC.British journal of cancer · 2026Article
- Identification and validation of an 11-kinase signature that predicts chemo- and radiosensitivity in gastric cancer.EBioMedicine · 2026Article
- Improving accuracy in the estimation of probable dementia in racially and ethnically diverse groups with penalized regression and transfer learning.American journal of epidemiology · 2026Article
- Pharmacogenomic impact and genetic architecture of toxicity in pediatric acute lymphoblastic leukemia induction therapy: an exploratory modeling approach.Frontiers in pharmacology · 2026Article
- Development and validation of a pre-chemotherapy nomogram integrating systemic immune-inflammation index and prognostic nutritional index to predict severe adjuvant toxicity in colorectal cancer.Frontiers in oncology · 2026Article
- Prediction of pulmonary infection during chemotherapy in non-small cell lung cancer: development and internal validation of a nomogram.Frontiers in oncology · 2026Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Prediction models are developed to aid health-care 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. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health-care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.