Saline rinse vs Saline-soaked swab: Duration of mechanical ventilation
- Population
- Critically ill patients receiving mechanical ventilation in ICU
- Intervention
- Saline rinse
- Comparison
- Saline-soaked swab
- Outcome
- Duration of mechanical ventilation
Saline rinse led to lower duration of mechanical ventilation compared with saline-soaked swab; GRADE not reported.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Saline rinse vs Saline-soaked swab Duration of mechanical ventilation · Critically ill patients receiving mechanical ventilation in ICU Saline rinse led to lower duration of mechanical ventilation compared with saline-soaked swab; GRADE not reported. Oral hygiene care for critically ill patients to prevent ventilator‐associated pneumonia (2020) · Cochrane All outcomes | MD -6.83 [-8.94, -4.72] | 2 studies · 176 participants | GRADE not reported |
Saline rinse vs Saline-soaked swab Duration of mechanical ventilation · Critically ill patients receiving mechanical ventilation in ICU Saline rinse led to lower duration of mechanical ventilation compared with saline-soaked swab; GRADE not reported. Oral hygiene care for critically ill patients to prevent ventilator‐associated pneumonia (2016) · Cochrane All outcomesearlier version CD008367.PUB3, superseded | MD -6.83 [-8.94, -4.72] | 2 studies · 176 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Oral hygiene care for critically ill patients to prevent ventilator‐associated pneumonia 2020 · Cochrane All outcomes | 2020-02 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Saline rinse vs usual or supportive care · Critically ill patients receiving mechanical ventilation in ICU · 1 review
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.