Safety of Botulinum Toxin A Injections for Facial Rejuvenation: A Meta-Analysis of 9,669 Patients
Bibliographic record
Abstract
PURPOSE: To quantitatively evaluate safety profile for botulinum toxin A (BTX-A) injections among patients undergoing treatment for cosmetic indications is produced, with special attention to clinically relevant covariates and their relative impact on safety. METHODS: A systematic literature search was performed using PubMed (1996-January 2020) and Embase (1947-January 2020) to identify all randomized controlled trials (RCTs) that reported safety data for patients receiving BTX-A for cosmetic indications compared to placebo. A meta-analysis was performed to determine pooled risk ratios (RR) for treatment-related adverse events (TRAEs) and for specific adverse events. Meta-regression and additional analyses were performed for significant and/or clinically relevant covariates. RESULTS: Following the review of 8,690 studies, 32 RCTs involving 9,669 patients were included. The pooled RR of any TRAE occurring after BTX-A injection compared to placebo injection was 1.53 (95% CI, 1.33-1.77; p < 0.001). Statistically significant covariates included individual injection volume and total injection volume. The type of BTX-A formulation, treatment site, total BTX-A units, and BTX-A units per injection were not significant. Specific adverse events more likely to occur following BTX-A injection rather than placebo injection included eyelid/eyebrow malposition (RR 3.55; p < 0.001), facial paresis (RR 2.42; p = 0.316), and headache (RR 1.45; p = 0.003). Injection site reactions and injection site bruising occurred at similar rates in both groups. CONCLUSIONS: The overall safety profile of BTX-A is acceptable and consistent with previous publications. The authors' additional analyses provide a relative comparison of the impact of various treatment parameters on safety.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".