Calvert, Melanie

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Liu, X., Cruz Rivera, S., Moher, D., Calvert, M. J., Denniston, A. K., The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Chan, A.-W., Darzi, A., Holmes, C., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 1,421

Reporting of Patient-Reported Outcomes in Randomized Trials: The CONSORT PRO Extension

Calvert, M., Blazeby, J., Altman, D. G., Revicki, D. A., Moher, D., Brundage, M. D., & CONSORT PRO Group, F. T. (2013) · JAMA

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 1,386

Symptoms, complications and management of long COVID: a review

Aiyegbusi, O. L., Hughes, S. E., Turner, G., Rivera, S. C., McMullan, C., Chandan, J. S., Haroon, S., Price, G., Davies, E. H., Nirantharakumar, K., et al. (2021) · Journal of the Royal Society of Medicine

Long-Term Effects of COVID-19COVID-19 Clinical Research Studies

Cited by 969

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Darzi, A., Holmes, C., Yau, C., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 933

Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols: The SPIRIT-PRO Extension

Calvert, M., Kyte, D., Mercieca-Bebber, R., Slade, A., Chan, A.-W., King, M. T., and the SPIRIT-PRO Group, Hunn, A., Bottomley, A., Regnault, A., et al. (2018) · JAMA

Delphi Technique in ResearchMeta-analysis and systematic reviews

Cited by 814

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2020) · BMJ

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 702

The importance of patient-reported outcomes in clinical trials and strategies for future optimization

Mercieca-Bebber, R., King, M. T., Calvert, M. J., Stockler, M. R., & Friedlander, M. (2018) · Patient Related Outcome Measures

Statistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of Life

Cited by 659

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Liu, X., Cruz Rivera, S., Moher, D., Calvert, M. J., Denniston, A. K., Ashrafian, H., Beam, A. L., Chan, A.-W., Collins, G. S., Deeks, A. D. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 555

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., Ashrafian, H., Beam, A. L., Collins, G. S., Darzi, A., Deeks, J. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 486

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

Rivera, S. C., Liu, X., Chan, A.-W., Denniston, A. K., & Calvert, M. J. (2020) · BMJ

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 463

Symptom burden and health-related quality of life in chronic kidney disease: a global systematic review and meta-analysis

Fletcher, B. R., Damery, S., Aiyegbusi, O. L., Anderson, N., Calvert, M., Cockwell, P., Ferguson, J., Horton, M., Paap, M. C. S., Sidey-Gibbons, C., et al. (2022) · PLOS Medicine

Dialysis and Renal Disease ManagementChronic Kidney Disease and Diabetes

Cited by 414

The importance of patient-reported outcomes: a call for their comprehensive integration in cardiovascular clinical trials

Anker, S. D., Agewall, S., Borggrefe, M., Calvert, M., Jaime Caro, J., Cowie, M. R., Ford, I., Paty, J. A., Riley, J. P., Swedberg, K., et al. (2014) · European Heart Journal

Health Systems, Economic Evaluations, Quality of LifeHealth Education and Validation

Cited by 362

Maximising the impact of patient reported outcome assessment for patients and society

Calvert, M., Kyte, D., Price, G., Valderas, J. M., & Hjollund, N. H. (2019) · BMJ

Health Systems, Economic Evaluations, Quality of LifePatient Satisfaction in Healthcare

Cited by 328

Patient-reported outcomes in randomized clinical trials: development of ISOQOL reporting standards

Brundage, M., Blazeby, J., Revicki, D., Bass, B., de Vet, H., Duffy, H., Efficace, F., King, M., Lam, C. L. K., Moher, D., et al. (2013) · Quality of Life Research

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 207

SPIRIT-PRO Extension explanation and elaboration: guidelines for inclusion of patient-reported outcomes in protocols of clinical trials

Calvert, M., King, M., Mercieca-Bebber, R., Aiyegbusi, O., Kyte, D., Slade, A., Chan, A.-W., Basch, E., Bell, J., Bennett, A., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 144

The burden of common chronic disease on health-related quality of life in an elderly community-dwelling population in the UK

Parker, L., Moran, G. M., Roberts, L. M., Calvert, M., & McCahon, D. (2014) · Family Practice

Chronic Disease Management StrategiesHealth Systems, Economic Evaluations, Quality of Life

Cited by 91

Systematic Evaluation of the Patient-Reported Outcome (PRO) Content of Clinical Trial Protocols

Kyte, D., Duffy, H., Fletcher, B., Gheorghe, A., Mercieca-Bebber, R., King, M., Draper, H., Ives, J., Brundage, M., Blazeby, J., et al. (2014) · PLoS ONE

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 82

Tackling bias in AI health datasets through the STANDING TOGETHER initiative

Ganapathi, S., Palmer, J., Alderman, J. E., Calvert, M., Espinoza, C., Gath, J., Ghassemi, M., Heller, K., Mckay, F., Karthikesalingam, A., et al. (2022) · Nature Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

Extension of the CONSORT and SPIRIT statements

Liu, X., Faes, L., Calvert, M. J., & Denniston, A. K. (2019) · The Lancet

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 65

Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines

Martindale, A. P. L., Llewellyn, C. D., de Visser, R. O., Ng, B., Ngai, V., Kale, A. U., di Ruffano, L. F., Golub, R. M., Collins, G. S., Moher, D., et al. (2024) · Nature Communications

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 58

Putting patient-reported outcomes on the ‘Big Data Road Map’.

Calvert, M., Thwaites, R., Kyte, D., & Devlin, N. (2015) · Journal of the Royal Society of Medicine

Health Systems, Economic Evaluations, Quality of LifePatient Satisfaction in Healthcare

Cited by 52

Current practices in patient-reported outcome (PRO) data collection in clinical trials: a cross-sectional survey of UK trial staff and management

Kyte, D., Ives, J., Draper, H., & Calvert, M. (2016) · BMJ Open

Survey Methodology and NonresponseStatistical Methods in Clinical Trials

Cited by 46

Prevalence of Heart Failure and Atrial Fibrillation in Minority Ethnic Subjects: The Ethnic-Echocardiographic Heart of England Screening Study (E-ECHOES)

Gill, P. S., Calvert, M., Davis, R., Davies, M. K., Freemantle, N., & Lip, G. Y. H. (2011) · PLoS ONE

Heart Failure Treatment and ManagementCardiovascular Function and Risk Factors

Cited by 43

The use of interim data and Data Monitoring Committee recommendations in randomized controlled trial reports: frequency, implications and potential sources of bias

Tharmanathan, P., Calvert, M., Hampton, J., & Freemantle, N. (2008) · BMC Medical Research Methodology

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 42