GuidelineEwha medical journal2025
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation.
Abstract readGuideline
In one paragraph
Guideline in Ewha medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quality and performance of machine learning versus logistic regression for predicting IVIG resistance in Kawasaki disease: a PROBAST+AI systematic comparison.BMC medical research methodology · 2026Pooled it
- Predicting intradialytic exercise intolerance in maintenance hemodialysis patients: an interpretable machine learning approach integrating functional assessments.Renal failure · 2026Observational
- Beyond single cut-off values in ultrasound: limitations and implications for context-aware radiology reporting.Insights into imaging · 2026Review
- Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data.Journal of medical Internet research · 2026Article
- Review
- A Novel Radiomics-based Interpretable Model for Bladder Cancer Grade Prediction Using White-Light Cystoscopy Images.European urology open science · 2026Article
- Multi-omics biomarkers in female fertility: from oocyte quality to endometrial receptivity and clinical translation.Biomarker research · 2026Review
- Clinical Reformation in the Age of Artificial Intelligence: Safeguarding the Ethical Centre of Medicine.Mayo Clinic proceedings. Digital health · 2026Review
- Artificial intelligence for triple-negative breast cancer from imaging to multi-omics.Frontiers in oncology · 2026Review
- Role of Medical Editors in the Age of Generative Artificial Intelligence.Healthcare informatics research · 2025Article
- Ewha Medical Journal's inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue.Ewha medical journal · 2025Article
- Ten guidelines for contributors to medical artificial intelligence research.Ewha medical journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors.
Gary S CollinsCentre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.
Karel G M MoonsJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Paula DhimanCentre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.
Richard D RileyInstitute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Andrew L BeamDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Ben Van CalsterDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Marzyeh GhassemiDepartment of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xiaoxuan LiuInstitute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Johannes B ReitsmaJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Maarten van SmedenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Anne-Laure BoulesteixDepartment of Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University of Munich, Munich, Germany.
Jennifer Catherine CamaradouPatient representative, Health Data Research UK patient and public involvement and engagement group.
Leo Anthony CeliBeth Israel Deaconess Medical Center, Boston, MA, USA.
Spiros DenaxasInstitute of Health Informatics, University College London, London, UK 18British Heart Foundation Data Science Centre, London, UK 19Department of Computing, Imperial College London, London, UK 20Northwestern University Feinberg School of Medicine, Chicago.
Alastair K DennistonNational Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.
Ben GlockerDepartment of Computing, Imperial College London, London, UK.
Robert M GolubNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Hugh HarveyHardian Health, Haywards Heath, UK.
Georg HeinzeSection for Clinical Biometrics, Centre for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Michael M HoffmanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
André Pascal KengneDepartment of Medicine, University of Cape Town, Cape Town, South Africa.
Emily LamPatient representative, Health Data Research UK patient and public involvement and engagement group.
Naomi LeeNational Institute for Health and Care Excellence, London, UK.
Elizabeth W LoderThe BMJ, London, UK.
Lena Maier-HeinDepartment of Intelligent Medical Systems, German Cancer Research Centre, Heidelberg, Germany.
Bilal A MateenInstitute of Health Informatics, University College London, London, UK 18British Heart Foundation Data Science Centre, London, UK 19Department of Computing, Imperial College London, London, UK 20Northwestern University Feinberg School of Medicine, Chicago.
Melissa D McCraddenDepartment of Bioethics, Hospital for Sick Children Toronto, ON, Canada.
Lauren Oakden-RaynerAustralian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.
Johan OrdishMedicines and Healthcare products Regulatory Agency, London, UK.
Richard ParnellPatient representative, Health Data Research UK patient and public involvement and engagement group.
Sherri RoseDepartment of Health Policy and Center for Health Policy, Stanford University, Stanford, CA, USA.
Karandeep SinghDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
Laure WynantsDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.
Patricia LogulloCentre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.
Funding
Wellcome Trust
Abstract
PubMed holds no abstract for this paper.
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY-NC
Read underepoch 390
Registered trials
None linked
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 Socratic graph.