Pregabalin vs placebo: 50% or greater reduction in seizure frequency
Pregabalin may leads to higher 50% or greater reduction in seizure frequency ‐ ITT analysis compared with placebo (low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Pregabalin vs placebo 50% or greater reduction in seizure frequency ‐ ITT analysis · drug‐resistant focal epilepsy Pregabalin may leads to higher 50% or greater reduction in seizure frequency ‐ ITT analysis compared with placebo (low certainty). Pregabalin add‐on for drug‐resistant focal epilepsy (2022) · Cochrane Headline outcomes only | RR 1.95 [1.4, 2.72] | 9 studies · 2663 participants | Low |
Pregabalin vs placebo 50% or greater reduction in seizure frequency ‐ best‐case analysis · drug‐resistant focal epilepsy It is very uncertain whether pregabalin changes 50% or greater reduction in seizure frequency ‐ best‐case analysis compared with placebo (very low certainty). Pregabalin add‐on for drug‐resistant focal epilepsy (2022) · Cochrane Headline outcomes only | RR 2.91 [1.92, 4.42] | 9 studies · 2663 participants | Very low |
Pregabalin vs placebo 50% or greater reduction in seizure frequency ‐ worst‐case analysis · drug‐resistant focal epilepsy It is very uncertain whether pregabalin changes 50% or greater reduction in seizure frequency ‐ worst‐case analysis compared with placebo (very low certainty). Pregabalin add‐on for drug‐resistant focal epilepsy (2022) · Cochrane Headline outcomes only | RR 1.1 [0.92, 1.31] | 9 studies · 2663 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Pregabalin add‐on for drug‐resistant focal epilepsy 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.