Question · asked by 1 review
Electronic cigarette use vs Non-smokers: Peri-implant clinical and radiographic parameters (plaque index, probing depth, bone loss, pro-inflammatory profile)
- Population
- Adult e-cigarette (ENDS) users with dental implants (incl. male implant-supported prosthesis patients)
- Intervention
- Electronic cigarette use
- Comparison
- Non-smokers
- Outcome
- Peri-implant clinical and radiographic parameters (plaque index, probing depth, bone loss, pro-inflammatory profile)
Among dental implant patients, e-cigarette users show worse peri-implant parameters (more plaque, worse clinical and radiographic outcomes) than non-smokers (narrative synthesis; ungraded).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
E-cigarette use (electronic nicotine delivery systems / vaping) vs Non-smokers (never-smokers) Peri-implant clinical and radiographic parameters (plaque index, probing depth, bone loss, pro-inflammatory profile) · Adult e-cigarette (ENDS) users with dental implants (incl. male implant-supported prosthesis patients) · Dental implant / peri-implant care, Implant/peri-implant populations: Vamos (implant patients), Youssef (male implant patients only), Yang (broad SR incl. peri-implant) Among dental implant patients, e-cigarette users show worse peri-implant parameters (more plaque, worse clinical and radiographic outcomes) than non-smokers (narrative synthesis; ungraded). An Umbrella Review of E-Cigarettes' Impact on Oral Microbiota and Biofilm Buildup. (2025) All outcomes | Narrative synthesis: e-cigarette users with dental implants showed a higher peri-implant plaque index and worse clinico-radiographic and immunological peri-implant parameters than non-smokers (worse than non-smokers… | 3 studies | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| An Umbrella Review of E-Cigarettes' Impact on Oral Microbiota and Biofilm Buildup. 2025 All outcomes | 12 March 2025 | 10 | Not applicable |
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.