Identifying relative efficacy of components of prehabilitation in adult surgical patients: protocol for a systematic review and component network meta-analysis
Open accessAbstract
Introduction: Prehabilitation is a high-priority intervention for patients, the public, clinicians and health systems. However, existing knowledge syntheses are generally low quality and do not provide insights regarding the relative efficacy of different prehabilitation components (eg, exercise, nutrition, psychosocial or cognitive interventions). The objective of the planned review is to evaluate the relative efficacy of different prehabilitation components to inform current care, implementation and future research. Methods and analysis: We will perform a systematic review and component network meta-analysis (CNMA). We will use a peer-reviewed search strategy to identify all randomised trials of prehabilitation in adult surgical patients from Ovid Medline, Embase, the CINAHL, PsycINFO, Web of Science and the Cochrane Central Register of Controlled Trials, along with grey literature. All stages of the review and data extraction process will be performed in duplicate, following recommended best practices. To compare the relative efficacy of different prehabilitation components (prespecified as exercise, nutrition, psychosocial or cognitive interventions), we will use CNMA, an extension of network meta-analysis that allows estimation of the contributions to efficacy of each component of a multicomponent intervention through direct and indirect comparisons. We will use additive CNMA models for critical outcomes (postoperative complications, patient-reported recovery, physical recovery and length of stay); standard care will be the common reference condition. Pre-specified sensitivity and subgroup analyses will be conducted. Ethics and dissemination: This review of published data does not require ethical review. Results will be disseminated via scientific conferences, peer-reviewed publications, social and traditional media and via our research network to target partners and organisations.
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Cites
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
PRISMA-P Group, Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015) · Systematic Reviews · doi:10.1186/2046-4053-4-1 · Cited by 26,223 · see citing works
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305 · see citing works
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,759 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828 · see citing works
Wan, X., Wang, W., Liu, J., & Tong, T. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-135 · Cited by 11,735 · see citing works
Shea, B. J., Reeves, B. C., Wells, G., Thuku, M., Hamel, C., Moran, J., Moher, D., Tugwell, P., Welch, V., Kristjansson, E., et al. (2017) · BMJ · doi:10.1136/bmj.j4008 · Cited by 10,636 · see citing works
Hutton, B., Salanti, G., Caldwell, D. M., Chaimani, A., Schmid, C. H., Cameron, C., Ioannidis, J. P. A., Straus, S., Thorlund, K., Jansen, J. P., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2385 · Cited by 8,269 · see citing works
Self-citationSterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ · doi:10.1136/bmj.d4002 · Cited by 7,709 · see citing works
How to perform a meta-analysis with R: a practical tutorial
Balduzzi, S., Rücker, G., & Schwarzer, G. (2019) · Evidence Based Mental Health · doi:10.1136/ebmental-2019-300117 · Cited by 5,827 · see citing works
PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement
McGowan, J., Sampson, M., Salzwedel, D. M., Cogo, E., Foerster, V., & Lefebvre, C. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.01.021 · Cited by 5,700 · see citing works
The Triple Aim: Care, Health, And Cost
Berwick, D. M., Nolan, T. W., & Whittington, J. (2008) · Health Affairs · doi:10.1377/hlthaff.27.3.759 · Cited by 5,136 · see citing works
Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development
Meara, J. G., Leather, A. J. M., Hagander, L., Alkire, B. C., Alonso, N., Ameh, E. A., Bickler, S. W., Conteh, L., Dare, A. J., Davies, J., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60160-x · Cited by 3,851 · see citing works
Checking consistency in mixed treatment comparison meta-analysis
Dias, S., Welton, N. J., Caldwell, D. M., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.3767 · Cited by 2,521 · see citing works
Staniszewska, S., Brett, J., Simera, I., Seers, K., Mockford, C., Goodlad, S., Altman, D. G., Moher, D., Barber, R., Denegri, S., et al. (2017) · BMJ · doi:10.1136/bmj.j3453 · Cited by 1,983 · see citing works
Bilimoria, K., Liu, Y., Paruch, J., Zhou, L., Kmiecik, T. E., Ko, C. Y., & Cohen, M. E. (2013) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2013.07.385 · Cited by 1,854 · see citing works
Ranking treatments in frequentist network meta-analysis works without resampling methods
Rücker, G., & Schwarzer, G. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0060-8 · Cited by 1,732 · see citing works
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
Veroniki, A. A., Jackson, D., Viechtbauer, W., Bender, R., Bowden, J., Knapp, G., Kuss, O., Higgins, J. P., Langan, D., & Salanti, G. (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1164 · Cited by 1,685 · see citing works
Self-citationStaniszewska, S., Brett, J., Simera, I., Seers, K., Mockford, C., Goodlad, S., Altman, D. G., Moher, D., Barber, R., Denegri, S., et al. (2017) · Research Involvement and Engagement · doi:10.1186/s40900-017-0062-2 · Cited by 1,643 · see citing works
Mortality after surgery in Europe: a 7 day cohort study
Pearse, R. M., Moreno, R. P., Bauer, P., Pelosi, P. P., Metnitz, P., Spies, C., Vallet, B., Vincent, J., Hoeft, A., & Rhodes, A. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61148-9 · Cited by 1,354 · see citing works
Schwarzer, G., Carpenter, J. R., & Rücker, G. (2015) · Use R! · doi:10.1007/978-3-319-21416-0 · Cited by 1,230 · see citing works
Santesso, N., Glenton, C., Dahm, P., Garner, P., Akl, E. A., Alper, B., Brignardello-Petersen, R., Carrasco-Labra, A., De Beer, H., Hultcrantz, M., et al. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.10.014 · Cited by 1,198 · see citing works
White, I. R., Barrett, J. K., Jackson, D., & Higgins, J. P. T. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1045 · Cited by 1,114 · see citing works
Devereaux, P. J., Chan, M. T. V., Alonso‐Coello, P., Walsh, M., Berwanger, O. B., Villar, J. C., Wang, C. Y., Garutti, R. I., Jacka, M. J., Sigamani, A., et al. (2012) · JAMA · doi:10.1001/jama.2012.5502 · Cited by 1,102 · see citing works
A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses
Langan, D., Higgins, J. P. T., Jackson, D., Bowden, J., Veroniki, A. A., Kontopantelis, E., Viechtbauer, W., & Simmonds, M. (2019) · Research Synthesis Methods · doi:10.1002/jrsm.1316 · Cited by 1,074 · see citing works
Self-citationThe Aging Population and Its Impact on the Surgery Workforce
Etzioni, D. A., Liu, J. H., Maggard, M. A., & Ko, C. Y. (2003) · Annals of Surgery · doi:10.1097/01.sla.0000081085.98792.3d · Cited by 880 · see citing works
Turner, R. M., Davey, J., Clarke, M. J., Thompson, S. G., & Higgins, J. P. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys041 · Cited by 837 · see citing works
Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis
Brignardello-Petersen, R., Bonner, A., Alexander, P. E., Siemieniuk, R. A., Furukawa, T. A., Rochwerg, B., Hazlewood, G. S., Alhazzani, W., Mustafa, R. A., Murad, M. H., et al. (2018) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.10.005 · Cited by 753 · see citing works
Systematic review of enhanced recovery programmes in colonic surgery
Fast Track Multimodal Management Versus Standard Care (LAFA) study group, Enhanced Recovery After Surgery (ERAS) group, Wind, J., Polle, S. W., Jin, P. H. P. F. K., Dejong, C. H. C., MEYENFELDT, M. F. V., Ubbink, D. T., Gouma, D. J., & Bemelman, W. A. (2006) · British journal of surgery · doi:10.1002/bjs.5384 · Cited by 682 · see citing works
Dias, S., Welton, N. J., Sutton, A. J., & Ades, A. E. (2011) · Bristol Research (University of Bristol) · Cited by 558 · see citing works
BORROWING STRENGTH FROM EXTERNAL TRIALS IN A META-ANALYSIS
Higgins, J. P. T., & WHITEHEAD, A. (1996) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19961230)15:24 · Cited by 553 · see citing works
Gillis, C., Buhler, K., Bresee, L., Carli, F., Gramlich, L., Culos-Reed, N., Sajobi, T. T., & Fenton, T. R. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.05.012 · Cited by 541 · see citing works
Self-citationWijeysundera, D. N., Pearse, R. M., Shulman, M. A., Abbott, T. E. F., Torres, E., Ambosta, A., Croal, B. L., Granton, J. T., Thorpe, K. E., Grocott, M. P. W., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31131-0 · Cited by 504 · see citing works
Global burden of surgical disease: an estimation from the provider perspective
Shrime, M. G., Bickler, S. W., Alkire, B. C., & Mock, C. (2015) · The Lancet Global Health · doi:10.1016/s2214-109x(14)70384-5 · Cited by 500 · see citing works
Knowledge Translation in Health Care
(2013) · Wiley eBooks · doi:10.1002/9781118413555 · Cited by 480 · see citing works
Age of patients undergoing surgery
Fowler, A. J., Abbott, T. E. F., Prowle, J. R., & Pearse, R. M. (2019) · British journal of surgery · doi:10.1002/bjs.11148 · Cited by 422 · see citing works
Confidence intervals for the amount of heterogeneity in meta‐analysis
Viechtbauer, W. (2006) · Statistics in Medicine · doi:10.1002/sim.2514 · Cited by 399 · see citing works
Welton, N. J., Caldwell, D. M., Adamopoulos, E., & Vedhara, K. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp014 · Cited by 360 · see citing works
Graham, I. D., Kothari, A. R., & McCutcheon, C. (2018) · Implementation Science · doi:10.1186/s13012-017-0700-y · Cited by 345 · see citing works
Assessing the validity of the Global Activity Limitation Indicator in fourteen European countries
Berger, N., Oyen, H. J. V., Cambois, E., Fouweather, T., Jagger, C., Nusselder, W. J., & Robine, J. (2015) · BMC Medical Research Methodology · doi:10.1186/1471-2288-15-1 · Cited by 317 · see citing works
Prehabilitation in adult patients undergoing surgery: an umbrella review of systematic reviews
McIsaac, D. I., Gill, M., Boland, L., Hutton, B., Branje, K., Shaw, J., Grudzinski, A. L., Barone, N., Gillis, C., Akhtar, S., et al. (2022) · British Journal of Anaesthesia · doi:10.1016/j.bja.2021.11.014 · Cited by 312 · see citing works
Self-citationFrailty as a Predictor of Death or New Disability After Surgery
McIsaac, D. I., Taljaard, M., Bryson, G. L., Beaulé, P. E., Gagné, S., Hamilton, G. M., Hladkowicz, E., Huang, A. R., Joanisse, J. A., Lavallée, L. T., et al. (2018) · Annals of Surgery · doi:10.1097/sla.0000000000002967 · Cited by 285 · see citing works
Self-citationAssessing key assumptions of network meta‐analysis: a review of methods
Donegan, S., Williamson, P. R., D’Alessandro, U., & Smith, C. T. (2013) · Research Synthesis Methods · doi:10.1002/jrsm.1085 · Cited by 271 · see citing works
Measurement of Disability-free Survival after Surgery
Shulman, M. A., Myles, P. S., Chan, M. T. V., McIlroy, D. R., Wallace, S. K. A., & Ponsford, J. (2015) · Anesthesiology · doi:10.1097/aln.0000000000000586 · Cited by 245 · see citing works
Multi‐modal prehabilitation: addressing the why, when, what, how, who and where next?
Scheede‐Bergdahl, C., Minnella, E. M., & Carli, F. (2019) · Anaesthesia · doi:10.1111/anae.14505 · Cited by 244 · see citing works
Veroniki, A. A., Jackson, D., Bender, R., Kuss, O., Langan, D., Higgins, J. P. T., Knapp, G., & Salanti, G. (2019) · Research Synthesis Methods · doi:10.1002/jrsm.1319 · Cited by 236 · see citing works
Self-citationBerian, J. R., Mohanty, S., Ko, C. Y., Rosenthal, R. A., & Robinson, T. N. (2016) · JAMA Surgery · doi:10.1001/jamasurg.2016.1689 · Cited by 212 · see citing works
Network meta‐analysis of multicomponent interventions
Rücker, G., Petropoulou, M., & Schwarzer, G. (2020) · Biometrical Journal · doi:10.1002/bimj.201800167 · Cited by 195 · see citing works
Risk of bias: a simulation study of power to detect study-level moderator effects in meta-analysis
Hempel, S., Miles, J. N., Booth, M. J., Wang, Z., Morton, S. C., & Shekelle, P. G. (2013) · Systematic Reviews · doi:10.1186/2046-4053-2-107 · Cited by 137 · see citing works
Luther, A., Gabriel, J., Watson, R. P., & Francis, N. K. (2018) · World Journal of Surgery · doi:10.1007/s00268-018-4569-y · Cited by 132 · see citing works
for the Integrated Knowledge Translation Research Network, Boland, L., Kothari, A., McCutcheon, C., & Graham, I. D. (2020) · Health Research Policy and Systems · doi:10.1186/s12961-019-0521-3 · Cited by 106 · see citing works
Self-citationHaller, G., Bampoe, S., Cook, T. M., Fleisher, L. A., Grocott, M. P. W., Neuman, M. D., Story, D., Myles, P. S., Myles, P. S., Grocott, M. P. W., et al. (2019) · British Journal of Anaesthesia · doi:10.1016/j.bja.2019.04.041 · Cited by 86 · see citing works
Approaches for synthesising complex mental health interventions in meta-analysis
Caldwell, D. M., & Welton, N. J. (2016) · Evidence-Based Mental Health · doi:10.1136/eb-2015-102275 · Cited by 75 · see citing works
Carli, F., & Ferreira, V. (2018) · Aging Clinical and Experimental Research · doi:10.1007/s40520-017-0875-8 · Cited by 68 · see citing works
Emergent approaches to the meta-analysis of multiple heterogeneous complex interventions
Meléndez‐Torres, G. J., Bonell, C. P., & Thomas, J. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0040-z · Cited by 63 · see citing works
Rücker, G., Schmitz, S., & Schwarzer, G. (2020) · Biometrical Journal · doi:10.1002/bimj.201900339 · Cited by 47 · see citing works
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Research works printed but not linked: 2
- [4]Shaw J, Beasley E, Hladkowicz E. A survey of older people after major surgery: Prioritization of routine and patient-reported postoperative outcome measures. In: Ottawa Quaity & Patient Safety Conference, 2018.
- [36]McIsaac DI, Gill M, Boland L. Prehabilitation in adult surgical patients: an umbrella review of systematic reviews. Ann Surg 2021: Submitted. 34922735
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McIsaac, D. I., Kidd, G., Gillis, C., Branje, K., Al-Bayati, M., Baxi, A., Grudzinski, A. L., Boland, L., Veroniki, A.-A., Wolfe, D., et al. (2025) · BMJ · doi:10.1136/bmj-2024-081164 · Cited by 168 · see citing works
Self-citation
- Authors
- McIsaac, D. I., Hutton, B., Veroniki, A., Gill, M., Boland, L., Branje, K., Grudzinski, A. L., Hladkowicz, E., Shaw, J., & Gillis, C.
- Affiliations
- University of Ottawa (CA)
- St. Michael's Hospital (CA)
- Patient Partner, Calgary, Alberta, Canada
- Ottawa Hospital Research Institute (CA)
- McGill University (CA)
- Corresponding author
- McIsaac, Daniel I
- ORCID
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2022-11
- Volume
- 12
- Issue
- 11
- Pages
- e068797
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC9677017
- OpenAlex
- W4309619185
- Cited by
- 7
- References
- 58
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- The Canadian Institutes of Health Research (179837)
- Topics
- Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
- Health Sciences › Medicine › Surgery › Anesthesia and Pain Management
- Keywords
- prehabilitation, surgical patients, physical activity, nutrition, psychosocial interventions, cognitive intervention, postoperative complications, physical recovery, length of hospital stay, multicomponent intervention, component network meta-analysis
- MeSH terms
- Network Meta-Analysis, Network Meta-Analysis as Topic, Systematic Reviews as Topic, Preoperative Exercise, Adult, Humans, Postoperative Complications, Meta-Analysis as Topic, Exercise
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