Describing Successful Multimodal Prehabilitation Before Colorectal Cancer Resection: A Recursive Partitioning Analysis of Pooled Trial Data

doi:10.1213/ane.0000000000008209

Describing Successful Multimodal Prehabilitation Before Colorectal Cancer Resection: A Recursive Partitioning Analysis of Pooled Trial Data

Anesth AnalgPublished 10 Aug 2026Recursive partitioning analysis of pooled data from six randomised trials of multimodal prehabilitation

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Authors' conclusion

This study identifies and describes clinically interpretable subgroups of prehabilitation participants defined by combinations of baseline characteristics, within which differing rates of 30-day postoperative complications were observed following colorectal cancer resection.

Study context

Population: Participants randomised to multimodal prehabilitation before colorectal cancer resection135 men · 96 women

Primary endpoint: 30-day postoperative complications
Follow-up: 30 days

Methodological detailsclassification tree models, pooled trial data, intervention arms only

Classification tree models
Pooled trial data
Intervention arms only

Primary result

As reported in the abstract

30-day postoperative complication rate in classification tree subgroups

6MWD ≥519 m with SF-36 PFI ≥5614.9%

SF-36 PFI ≥56, 6MWD 314 to 518 m, low risk of malnutrition6.2%

6MWD ≥487 m at multimodal prehabilitation completion22.2%

Could not reach this distance, ≥41 days of prehabilitation31.8%

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Describing Successful Multimodal Prehabilitation Before Colorectal Cancer Resection: A Recursive Partitioning Analysis of Pooled Trial Data. Anesth Analg. Published 10 August 2026. doi:10.1213/ane.0000000000008209

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