Question · asked by 1 review
Summary of findings table ‐ Preoperative exercise training vs no exercise: Exercise capacity
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Summary of findings table ‐ Preoperative exercise training vs no exercise training Postintervention (preoperative) exercise capacity · people scheduled to undergo lung resection for non‐small cell lung cancer Preoperative exercise training for people with non‐small cell lung cancer (2022) · Cochrane Headline outcomes only | no estimate extracted | 2 studies · 191 participants | Moderate |
Summary of findings table ‐ Preoperative exercise training vs no exercise training Postintervention (preoperative) exercise capacity · people scheduled to undergo lung resection for non‐small cell lung cancer Preoperative exercise training for people with non‐small cell lung cancer (2022) · Cochrane Headline outcomes only | no estimate extracted | 6 studies · 474 participants | Very low |
Preoperative exercise training vs no exercise training Post‐intervention exercise capacity · patients scheduled to undergo lung resection for non‐small cell lung cancer Preoperative exercise training for people with non‐small cell lung cancer (2017) · Cochrane Headline outcomes onlyearlier version CD012020.PUB2, superseded | no estimate extracted | 2 studies · 81 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Preoperative exercise training for people with non‐small cell lung cancer 2022 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not assessed |
Studies behind the findings
None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.