Evidence map›Paper›PMID 38626948›Full record

ArticleBMJ (Clinical research ed.)2024

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.

Gary S Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden and 24 more

Erratum issued 11 registry-linked trialsAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 11 registered trials, which are not on this map. Cited by 2,561 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,561citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT06325800 recruitingnot on this map

Multimodal Vascular Phenotyping and Target-Organ Damage Using Vascular Imaging, Glyco-Oxidative Biomarkers, and Photoplethysmography in Adults at Increased Cardiovascular Risk: The GlycOxiTOD Observational Registry

Typeobservational_patient_registrySponsorComplejo Hospitalario Universitario de SantiagoRan2024 to 2035Enrolled1,000ConditionsHypertension, Target Organ Damage, Heart Disease Risk Factors, Vascular StiffnessArmsMultimodal Cardiovascular Phenotyping
NCT07068022 recruitingnot on this mapstarted 2025, after this paper: background citation

Development and Validation of an Obstetric Organ Dysfunction Score to Predict Mortality in Intensive Care Unit: A Multicenter, Prospective, Cohort Study

TypeobservationalSponsorDaniela VasquezRan2025 to 2027Enrolled130ConditionsPregnancy, Postpartum, Organ Dysfunction, Critical Care, Intensive CareArmsOrgan dysfunction score adjusted to obstetric patients (SOFA-OBS)
NCT07172165 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

A Multicenter Study to Optimize Microembolic Signal Classification Based on Double--Blind Multiparametric Assessment by Human Experts Using an Universal Graphical Interface [MESOMEGA]

TypeobservationalSponsorUniversidade do PortoRan2025 to 2026Enrolled850ConditionsMicroemboli, Stroke, Transcranial Doppler UltrasoundArmsExpert double-blind evaluation
NCT07373951 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Retrospective Multicenter Study: Patient-level Noninvasive Prediction of Non-small Cell Lung Cancer Brain Metastases Based on T1CE and FLAIR Multimodal MRI Deep Learning Models, With Targeted Drivers (EGFR or ALK), External Validation, and Survival Translation Assessment.

TypeobservationalSponsorMing YangRan2025 to 2026Enrolled380ConditionsNon-Small Cell Lung Cancer, Brain Metastases
NCT07500428 recruitingnot on this mapstarted 2026, after this paper: background citation

Construction of a Standardized Benchmark Evaluation System for Intelligent Breast Ultrasound Image Interpretation and Systematic Performance Assessment of Multimodal Artificial Intelligence Models Based on ACR BI-RADS v2025 Criteria

TypeobservationalSponsorPeking Union Medical College HospitalRan2026 to 2027Enrolled1,380ConditionsBreast Neoplasms, Breast Diseases, UltrasonographyArmsMultimodal AI Model Diagnostic Evaluation
NCT07626060 recruitingnot on this mapstarted 2026, after this paper: background citation

Diagnostic Accuracy of Large Language Models (GPT-4o and Claude) in HEART Score Calculation and 30-Day MACE Prediction in Emergency Department Chest Pain Patients: A Prospective Observational Validation Study Against Three-Expert Consensus

TypeobservationalSponsorMarmara University Pendik Training and Research HospitalRan2026 to 2027Enrolled690ConditionsEmergency Medicine, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Chest Pain Rule Out Myocardial InfarctionArmsGPT-4o HEART Score Calculator, Claude HEART Score Calculator, Three-Expert Consensus HEART Score
NCT07665710 recruitingnot on this mapstarted 2026, after this paper: background citation

Prediction of Pancreatogenic Diabetes After Partial Resection of the Pancreas

TypeobservationalSponsorUniversity Medical Centre LjubljanaRan2026 to 2029Enrolled150ConditionsPancreatogenic Diabetes Mellitus
NCT07693517 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

SPINE-RISK VE: Development and Internal Validation of a Multimodal Preoperative Predictive Model for Failed Back Surgery Syndrome Using Inflammatory Biomarkers, Lumbar MRI Findings, and Psychosocial Factors in Venezuelan Surgical Patients

TypeobservationalSponsorjuan jose valero quintero,MDRan2026 to 2028Enrolled150ConditionsPersistent Spinal Pain Syndrome Type 2 (PSPS-T) Lower Spine, Chronic Low Back Pain, Postoperative Pain, Lumbar Spine SurgeryArmsSPINE-RISK VE multimodal preoperative assessment
NCT07740122 recruitingnot on this mapstarted 2026, after this paper: background citation

FECAL-AI: Prospective Observational Validation of AI-Based Stool Image Analysis Against Quantitative Fecal Immunochemical Testing for Colorectal Neoplasia Risk Assessment

Typeobservational_patient_registrySponsorServicio de Salud Metropolitano Sur OrienteRan2026 to 2026Enrolled250ConditionsColorectal NeoplasmsArmsAI-Based Stool Image Analysis
NCT07770854 completednot on this map

Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis: Multidimensional Analysis of Peripheral Muscle Oxygenation, Postural Balance, and Clinical-Functional Markers

TypeobservationalSponsorGazi UniversityRan2021 to 2025Enrolled31ConditionsCystic Fibrosis (CF)ArmsArchived Multidimensional Clinical and Functional Assessment Data
NCT07783126 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Deep-learning Prediction of Abdominal Aortic Aneurysm Enlargement in Type II Endoleak After EVAR: Development and Multicenter Validation of an End-to-end Deep-learning Model (the RADAR Study)

TypeobservationalSponsorEnte Ospedaliero Cantonale, BellinzonaRan2026 to 2028Enrolled1,250ConditionsType II Endoleak, Abdominal Aortic Aneurysm EnlargementArmsArtificial intelligence model analyzing preoperative CT angiography
3 · Its place in the literature

Who cites it

2,561 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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2,501 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

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.ORCID 0000-0002-2772-2316
Karel G M MoonsJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0003-2118-004X
Paula DhimanCentre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.ORCID 0000-0002-0989-0623
Richard D RileyInstitute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0001-8699-0735
Andrew L BeamDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-6657-2787
Ben Van CalsterDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID 0000-0003-1613-7450
Marzyeh GhassemiDepartment of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-6349-7251
Xiaoxuan LiuInstitute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-1286-0038
Johannes B ReitsmaJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0003-4026-4345
Maarten van SmedenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-5529-1541
Anne-Laure BoulesteixInstitute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University of Munich and Munich Centre of Machine Learning, Germany.ORCID 0000-0002-2729-0947
Jennifer Catherine CamaradouPatient representative, Health Data Research UK patient and public involvement and engagement group.ORCID 0000-0002-5742-2840
Leo Anthony CeliBeth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0001-6712-6626
Spiros DenaxasInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0001-9612-7791
Alastair K DennistonNational Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.ORCID 0000-0001-7849-0087
Ben GlockerDepartment of Computing, Imperial College London, London, UK.ORCID 0000-0002-4897-9356
Robert M GolubNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0001-7881-1207
Hugh HarveyHardian Health, Haywards Heath, UK.ORCID 0000-0003-4528-1312
Georg HeinzeSection for Clinical Biometrics, Centre for Medical Data Science, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-1147-8491
Michael M HoffmanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-4517-1562
André Pascal KengneDepartment of Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-5183-131X
Emily LamPatient representative, Health Data Research UK patient and public involvement and engagement group.
Naomi LeeNational Institute for Health and Care Excellence, London, UK.ORCID 0000-0003-0100-9659
Elizabeth W LoderThe BMJ, London, UK.ORCID 0000-0003-1501-2947
Lena Maier-HeinDepartment of Intelligent Medical Systems, German Cancer Research Centre, Heidelberg, Germany.ORCID 0000-0003-4910-9368
Bilal A MateenInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-4423-6472
Melissa D McCraddenDepartment of Bioethics, Hospital for Sick Children Toronto, ON, Canada.ORCID 0000-0002-6476-2165
Lauren Oakden-RaynerAustralian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0001-5471-5202
Johan OrdishMedicines and Healthcare products Regulatory Agency, London, UK.ORCID 0000-0001-6911-2367
Richard ParnellPatient representative, Health Data Research UK patient and public involvement and engagement group.ORCID 0000-0003-0044-3496
Sherri RoseDepartment of Health Policy and Center for Health Policy, Stanford University, Stanford, CA, USA.ORCID 0000-0002-9076-8472
Karandeep SinghDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.ORCID 0000-0001-8980-2330
Laure WynantsDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.ORCID 0000-0002-3037-122X
Patricia LogulloCentre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.ORCID 0000-0001-8708-7003

Funding

Cancer Research UK 27294Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Decision Support TechniquesModels, StatisticalChecklistHumansPrognosis

Identifiers

PMID38626948
PMCPMC11019967

What OpenQuestion holds

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Registered trials

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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.