The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Psychological factors, prehabilitation and surgical outcomes: evidence and future directions
Open accessAbstract
Summary: The pre‐operative optimisation of comorbidities is increasingly recognised as an important element of the pre‐operative pathway. These efforts have primarily focused on physical comorbidities such as anaemia and the optimisation of exercise and nutrition. However, there is a growing recognition of the importance of psychological morbidity. Increasingly, evidence suggests that psychological factors have an impact on surgical outcomes in both the short and long term. Pre‐operative anxiety, depression and low self‐efficacy are consistently associated with worse physiological surgical outcomes and postoperative quality of life. This has led to the emergence of psychological prehabilitation and the trimodal approach to prehabilitation, incorporating psychological intervention as well as exercise and nutritional optimisation. However, there is currently insufficient evidence to be sure that pre‐operative psychological interventions are of benefit, or which interventions are most effective, because their impact has been mixed. There is an urgent need for high quality, contemporaneous prospective trials with baseline psychological evaluation, well‐described interventions and agreement on the most appropriate psychological, quality of life and physiological outcomes measures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Speck, R. M., Courneya, K. S., Mâsse, L. C., Duval, S., & Schmitz, K. H. (2010) · Journal of Cancer Survivorship · doi:10.1007/s11764-009-0110-5 · Cited by 1,352
Predictors of Postoperative Pain and Analgesic Consumption: A Qualitative Systematic Review
Ip, H. Y. V., Abrishami, A., Peng, P. W. H., Wong, J., & Chung, F. (2009) · Anesthesiology · doi:10.1097/aln.0b013e3181aae87a · Cited by 1,055
Gillis, C., Li, C., Lee, L., Awasthi, R., Augustin, B., Gamsa, A., Liberman, A. S., Stein, B., Charlebois, P., Feldman, L. S., et al. (2014) · Anesthesiology · doi:10.1097/aln.0000000000000393 · Cited by 876
Theunissen, M., Peters, M. L., Bruce, J., Gramke, H.-F., & Marcus, M. A. (2012) · The Clinical Journal of Pain · doi:10.1097/ajp.0b013e31824549d6 · Cited by 659
Buffart, L. M., Kalter, J., Sweegers, M. G., Courneya, K. S., Newton, R. U., Aaronson, N. K., Jacobsen, P. B., May, A. M., Galvão, D. A., Chinapaw, M. J., et al. (2017) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2016.11.010 · Cited by 595
Psychosocial predictors and correlates for chronic post-surgical pain (CPSP)—a systematic review.
Hinrichs‐Rocker, A., Schulz, K., Järvinen, I., Lefering, R., Simanski, C., & Neugebauer, E. A. M. (2009) · European Journal of Pain · doi:10.1016/j.ejpain.2008.07.015 · Cited by 461
Powell, R., Scott, N. W., Manyande, A., Bruce, J., Vögele, C., Byrne-Davis, L. M., Unsworth, M., Osmer, C., & Johnston, M. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008646.pub2 · Cited by 369
Bruce, J., Thornton, A. J., Powell, R., Johnston, M., Wells, M., Heys, S. D., Thompson, A. M., Smith, C. W., Chambers, A. W., & Scott, N. W. (2014) · Pain · doi:10.1016/j.pain.2013.09.028 · Cited by 260
Weinrib, A. Z., Azam, M. A., Birnie, K. A., Burns, L. C., Clarke, H., & Katz, J. (2017) · British Journal of Pain · doi:10.1177/2049463717720636 · Cited by 178 · cited 2×
“Chronic postsurgical pain occurs in between 10% to 70% of patients having major surgery, and is associated with long-term reduction in quality of life and significant economic implications [11].”
BackgroundTreanor, C., Kyaw, T., & Donnelly, M. (2018) · Journal of Cancer Survivorship · doi:10.1007/s11764-017-0645-9 · Cited by 146
Cited by
Psychological Interventions Prior to Cancer Surgery: a Review of Reviews
Grimmett, C., Heneka, N., & Chambers, S. (2022) · Current Anesthesiology Reports · doi:10.1007/s40140-021-00505-x · Cited by 78
Self-citationPsychological Preparation for Cardiac Surgery
Salzmann, S., Salzmann-Djufri, M., Wilhelm, M., & Euteneuer, F. (2020) · Current Cardiology Reports · doi:10.1007/s11886-020-01424-9 · Cited by 72
Hall, A. E., Nguyen, N. H., Cascavita, C. T., Shariati, K., Patel, A. K., Chen, W., Kang, Y., Ren, X., Tseng, C.-H., Hidalgo, M. A., et al. (2025) · Annals of Surgery · doi:10.1097/sla.0000000000006677 · Cited by 52
Zhou, L., Li, H., Zhang, Z., & Wang, L. (2024) · Journal of Global Health · doi:10.7189/jogh.14.04239 · Cited by 20
Metadata
- Authors
- Levett, D. Z. H., & Grimmett, C.
- Venue
- Anaesthesia
- Publisher
- Wiley
- Published
- 2019-01
- Volume
- 74
- Issue
- S1
- Pages
- 36-42
- ISSN
- 0003-2409 (ISSN-L)
- 1365-2044
- OpenAlex
- W2908429203
- Cited by
- 261
- References
- 10
- FWCI
- 22.47
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.