Question · asked by 1 review
Early intervention (mobilization or active exercise) vs usual care: Physical function
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Early intervention (mobilization or active exercise) vs usual care Physical function ‐ independent ADLs total at ICU discharge Functional Independence Measure (0 ‐ 6) · critically ill, mechanically ventilated adults Early intervention (mobilization or active exercise) for critically ill adults in the intensive care unit (2018) · Cochrane Headline outcomes only | no estimate extracted | 1 study · 104 participants | Low |
Early intervention (mobilization or active exercise) vs usual care Physical function ‐ Independent ADL total at hospital discharge Functional Independence Measure (0 ‐ 6) · critically ill, mechanically ventilated adults Early intervention (mobilization or active exercise) for critically ill adults in the intensive care unit (2018) · Cochrane Headline outcomes only | no estimate extracted | 1 study · 104 participants | Low |
Early intervention (mobilization or active exercise) vs usual care Physical function Barthel score (0 ‐ 100) · critically ill, mechanically ventilated adults Early intervention (mobilization or active exercise) for critically ill adults in the intensive care unit (2018) · Cochrane Headline outcomes only | no estimate extracted | 1 study · 104 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Early intervention (mobilization or active exercise) for critically ill adults in the intensive care unit 2018 · 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.