Organisation profile
Organisation profile
The evidence synthesis group at the Musculoskeletal Research Unit conducts work to improve healthcare for people living with musculoskeletal conditions. Much of our work is focused on improving patients’ outcomes after hip and knee replacement, particularly for patients who experience adverse events or outcomes such as joint infection or chronic pain. We use evidence synthesis in a range of ways, including to investigate the epidemiology and risk factors for adverse events after orthopedic surgery, further our understanding of surgical innovation, evaluate the clinical and cost-effectiveness of treatments, and inform the design of interventions for evaluation in clinical trials. Methodological expertise in our group includes systematic reviews, meta-analysis, analysis of individual patient data, and network-meta-analysis.
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Collaborations and top research areas from the last five years
Profiles
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Professor Elsa M R Marques
- Bristol Medical School (THS) - Honorary Professor
- Evidence Synthesis Group
- Bristol Population Health Science Institute
- Centre for Academic Primary Care
Person: Member, Honorary and Visiting Academic
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Professor Vikki Wylde
- Bristol Medical School (THS) - Professor of Musculoskeletal Health
- Evidence Synthesis Group
- Musculoskeletal Research Unit
Person: Academic , Member
Research output
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Changes in problem-solving style when pain does not resolve: A longitudinal analysis of adults with chronic pain after total knee replacement
Gibby, A., Braun, M., Bertram, W. A., Gooberman-Hill, R., Crombez, G., Peters, T., Wylde, V. & Eccleston, C., 1 Feb 2026, In: Pain. 167, 2, p. 338-343 6 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
Factors influencing preferred fixation method in total hip replacement: a national survey of practice with consultant orthopaedic surgeons in the UK
The HIPPY Surgeons Expert Panel, Baji, P., Palmer, C. K., Moore, A. J., Whitehouse, M. R., Evans, J. & Marques, E. M. R., 1 May 2026, In: Bone and Joint Journal. 108-B, 5, p. 597-606 10 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
Hybrid versus cemented implants for total hip replacement: A randomised feasibility study with embedded qualitative research
Board, T., Wylde, V., Divecha, H., Gornall, M., Jackson, R., Coffey, T., Eden, M., Dalal, G., Davies, A., Hickey, H., Spickett, H., Taylor, T., Wilson, M. & Powell, R., 23 Feb 2026, (Accepted/In press) In: BMC Musculoskeletal Disorders.Research output: Contribution to journal › Article (Academic Journal) › peer-review
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RECLAIM: A randomised trial to test the clinical and cost-effectiveness of a new treatment to reduce the risk of developing chronic post-surgical pain following total knee replacement surgery
Wylde, V. (Co-Investigator)
1/01/26 → 1/01/29
Project: Research
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Supporting orthopaedic surgeons to reduce negative outlier performance
Wylde, V. (Co-Investigator)
1/11/25 → 1/01/28
Project: Research
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An Osteoarthritis Pain Science Education Intervention to Optimise Care for Total Knee Replacement Surgery (OPTIMISE)
Wylde, V. (Co-Investigator)
1/10/25 → 1/10/27
Project: Research
Student theses
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Multistate modelling for cost-effectiveness analysis: The impact of common simplifying assumptions explored in the context of implants for total knee replacement
Xu, Y. (Author), Thom, H. H. Z. (Supervisor), Marques, E. M. R. (Supervisor) & Welton, N. J. (Supervisor), 18 Mar 2025Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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Datasets
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Additional file 3 of The effectiveness of non-pharmacological sleep interventions for people with chronic pain: a systematic review and meta-analysis
Whale, K. (Creator), Dennis, J. (Creator), Wylde, V. (Creator), Beswick, A. (Creator) & Gooberman-Hill, R. (Creator), figshare, 12 May 2022
DOI: 10.6084/m9.figshare.19753272.v1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_The_effectiveness_of_non-pharmacological_sleep_interventions_for_people_with_chronic_pain_a_systematic_review_and_meta-analysis/19753272/1
Dataset