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Publications

Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Ferreira ML. et al, (2023), The lancet rheumatology, 5, e316 - e329

Invited Commentary: Transparent reporting of artificial intelligence models development and evaluation in surgery: The TRIPOD and DECIDE-AI checklists.

Vasey B. and Collins GS., (2023), Surgery

Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study.

Clift AK. et al, (2023), Bmj, 381

The Trade Secret Taboo: Open Science Methods are Required to Improve Prediction Models in Sports Medicine and Performance.

Bullock GS. et al, (2023), Sports med

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): Explanation and Elaboration. Translation into Russian

Moons KGM. et al, (2023), Current pediatrics, 22, 109 - 187

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery.

Dhiman P. et al, (2023), J clin epidemiol

Bibliometric analysis of academic journal recommendations and requirements for surgical and anesthesiologic adverse events reporting.

Sholklapper TN. et al, (2023), International journal of surgery (london, england)

Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA).

Snell KIE. et al, (2023), Bmj (clinical research ed.), 381

Description, Prediction, and Causation in Sport and Exercise Medicine Research: Resolving the Confusion to Improve Research Quality and Patient Outcomes.

Losciale JM. et al, (2023), J orthop sports phys ther, 1 - 19

Artificial intelligence in lung cancer diagnostic imaging: a review of the reporting and conduct of research published 2018 - 2019

LOGULLO P. et al, (2023), British journal of radiology open

Systematic review finds "Spin" practices and poor reporting standards in studies on machine learning-based prediction models.

Andaur Navarro CL. et al, (2023), J clin epidemiol

Organizational Risk Profiling and Education Associated with Reduction in Professional Pitching Arm Injuries: A Natural Experiment

Bullock GS. et al, (2023), Jses reviews, reports, and techniques

Predicting the Objective and Subjective Clinical Outcomes of Anterior Cruciate Ligament Reconstruction: A Machine Learning Analysis of 432 Patients: Letter to the Editor.

Bullock GS. et al, (2023), Am j sports med, 51, NP15 - NP16

Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review and Meta-Analysis.

Romijn M. et al, (2023), The journal of pediatrics

Improving the understanding and management of back pain in older adults: the BOOST research programme including RCT and OPAL cohort

WILLIAMSON E. et al, (2023), Programme grants for applied research

Up front and open, shrouded in secrecy, or somewhere in between? A Meta Research Systematic Review of Open Science Practices in Sport Medicine Research

Bullock GS. et al, (2023)

Reporting guidelines used varying methodology to develop recommendations.

Schlussel MM. et al, (2023), J clin epidemiol

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

Dhiman P. et al, (2023), Journal of clinical epidemiology

The burden of Alzheimer's disease and other types of dementia in the Middle East and North Africa region, 1990-2019.

Safiri S. et al, (2023), Age ageing, 52

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration.

Debray TPA. et al, (2023), Bmj, 380

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