Question · asked by 1 review
Ibuprofen vs ketorolac: Patient‐reported pain intensity or pain relief (VAS, NRS or categorical scale)
- Population
- children with acute postoperative pain
- Intervention
- Ibuprofen
- Comparison
- ketorolac
- Outcome
- Patient‐reported pain intensity or pain relief (VAS, NRS or categorical scale)
The review found no eligible studies for this question.
What each review found
Current versions onlyNo studies found 2 · 100%GRADE not reported 0 · 0%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Ibuprofen vs ketorolac Pain intensity – as reported by the child, less than 2 hours postintervention · children aged 17 years or younger treated for acute postoperative or postprocedural pain The review found no eligible studies for this question. Ibuprofen for acute postoperative pain in children (2024) · Cochrane Headline outcomes only | no estimate extracted | Not reported | No studies found |
Ibuprofen vs ketorolac Pain intensity – as reported by the child, 2 hours to less than 24 hours postintervention · children aged 17 years or younger treated for acute postoperative or postprocedural pain The review found no eligible studies for this question. Ibuprofen for acute postoperative pain in children (2024) · Cochrane Headline outcomes only | no estimate extracted | Not reported | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Ibuprofen for acute postoperative pain in children 2024 · Cochrane Headline outcomes only | Not reported | Not extracted | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Ibuprofen vs morphine · children with acute postoperative pain · 1 review
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- Ibuprofen vs placebo · children with acute postoperative pain · 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.