Systematic Reviews and Meta-Analysis of Prognosis Studies (REVAMP): development of core methods, reporting guidelines and a methodology handbook,

Riley, Richard (Principal Investigator)
Archer, Lucinda (Co-Investigator)
Snell, Kym (Co-Investigator)
Ensor, Joie (Co-Investigator)

Applied Health Sciences

Short title	Systematic Reviews and Meta-Analysis of Prognosis Studies (REVAMP): development of core methods, reporting guidelines and a methodology handbook,
Status	Active
Effective start/end date	1/02/25 → 28/02/27

Funding

UK Research and Innovation

2 Article
1 Review article

Design aspects for prognostic factor studies
Sekula, P., Steinbrenner, I., Schultheiss, U. T., Valveny, N., Rebora, P., Halabi, S., Cadarette, S. M., Riley, R. D., Collins, G. S., Sauerbrei, W., Gail, M. H. & Topic group 5 of the STRATOS initiative, 31 Aug 2025, In: BMJ Open. 15, 8, 14 p., e095065.
Research output: Contribution to journal › Article › peer-review

Open Access
File
4 Downloads (Pure)
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
Van Calster, B., Collins, G. S., Vickers, A. J., Wynants, L., Kerr, K. F., Barreñada, L., Varoquaux, G., Singh, K., Moons, K. G., Hernandez-Boussard, T., Timmerman, D., McLernon, D. J., van Smeden, M., Steyerberg, E. W. & Topic Group 6 of the STRATOS Initiative, 13 Dec 2025, (E-pub ahead of print) In: The Lancet Digital Health. 13 p., 100916.
Research output: Contribution to journal › Review article › peer-review

Open Access
File
10 Downloads (Pure)
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.
Moons, K. G. M., Damen, J. A. A., Kaul, T., Hooft, L., Navarro, C. A., Dhiman, P., Beam, A. L., Van Calster, B., Celi, L. A., Denaxas, S., Denniston, A. K., Ghassemi, M., Heinze, G., Kengne, A. P., Maier-Hein, L., Liu, X., Logullo, P., McCradden, M. D., Liu, N. & Oakden-Rayner, L. & 8 others, Singh, K., Ting, D. S., Wynants, L., Yang, B., Reitsma, J. B., Riley, R. D., Collins, G. S. & van Smeden, M., 24 Mar 2025, In: BMJ. 388, 15 p., e082505.
Research output: Contribution to journal › Article › peer-review

Open Access
File
163 Downloads (Pure)

Systematic Reviews and Meta-Analysis of Prognosis Studies (REVAMP): development of core methods, reporting guidelines and a methodology handbook,

Project Details

Funding

Fingerprint

Design aspects for prognostic factor studies

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.

Systematic Reviews and Meta-Analysis of Prognosis Studies (REVAMP): development of core methods, reporting guidelines and a methodology handbook,

Project Details

Funding

Fingerprint

Research output

Design aspects for prognostic factor studies

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.