Back

Role of exercise prehabilitation on surgical prognosis in people with breast cancer: A Systematic review and call for action

Esteban-Simon, A.; Corres, P.; Soriano-Maldonado, A.; Carneiro-Barrera, A.; Amaro-Gahete, F. J.

2025-10-30 rehabilitation medicine and physical therapy
10.1101/2025.10.29.25338895 medRxiv
Show abstract

BackgroundBreast cancer (BC) is the most common cancer worldwide, with surgery being the main curative approach. However, postoperative complications (PC) are frequent and may compromise recovery. Identifying strategies to optimize surgical prognosis is clinically relevant. ObjectiveTo synthesize the effects of multimodal, exercise-based prehabilitation on PC, hospital length of stay (HLS), reoperations, and readmissions in patients with BC undergoing surgery. MethodsA systematic search was conducted in PubMed and Web of Science. Eligible studies were randomized or non-randomized controlled trials including patients with BC, implementing prehabilitation with physical activity or exercise, and assessing PC, HLS, reoperations, and/or readmissions. ResultsTwo studies fulfilled the inclusion criteria. No significant differences were observed between prehabilitation and control groups for PC, HLS, reoperations, or readmissions. Nonetheless, one study reported more favourable outcomes in PC and reoperations related to previous breast surgery in patients undergoing prehabilitation. ConclusionsExercise-based prehabilitation may reduce PC and unplanned reoperations associated with prior surgery in patients with BC, although no differences were found for HLS or readmissions compared with usual care. Given the limited number of trials, further research is required to determine the potential benefits of prehabilitation on surgical outcomes in BC.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.