Question · asked by 1 review

Varenicline vs placebo: Change in weight (kg)

Varenicline for smoking cessation showed no clear difference in mean weight change (kg) at end of treatment compared with placebo (high certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Varenicline for smoking cessation vs placebo
Mean weight change (kg) at end of treatment · People who have quit smoking
Varenicline for smoking cessation showed no clear difference in mean weight change (kg) at end of treatment compared with placebo (high certainty).
Interventions for preventing weight gain after smoking cessation (2021) · Cochrane Headline outcomes only
MD 0.2314 studies · 2566 participantsHigh
Varenicline for smoking cessation vs placebo
Mean weight change (kg) at 6 months · People who have quit smoking
Varenicline for smoking cessation showed no clear difference in mean weight change (kg) at 6 months compared with placebo (low certainty).
Interventions for preventing weight gain after smoking cessation (2021) · Cochrane Headline outcomes only
MD 0.093 studies · 384 participantsLow
Varenicline for smoking cessation vs placebo
Mean weight change (kg) at 12 months · People who have quit smoking
Varenicline for smoking cessation showed no clear difference in mean weight change (kg) at 12 months compared with placebo (low certainty).
Interventions for preventing weight gain after smoking cessation (2021) · Cochrane Headline outcomes only
MD 1.053 studies · 237 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Interventions for preventing weight gain after smoking cessation
2021 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot 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.