Effect of alcohol skin cleansing on vaccination-associated infections and local skin reactions: a randomized controlled trial
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: Recommendations regarding the need to use alcohol prior to vaccine injections are inconsistent and based on low-level evidence. The objective was to assess the effectiveness of alcohol in reducing local skin reactions and infection post-vaccination. METHODS: Randomized controlled trial in a pediatric clinic. A research assistant cleansed the skin with alcohol at (swab group) or adjacent to (control group) the pre-defined injection site(s). Clinicians, parents and children were blinded to group allocation. Parents reported local skin reactions using paper diaries for 15 days post-vaccination (Day 0-14). Telephone interviews were conducted Day 1, 5, and 14. The Brighton Collaboration criteria were used to diagnose cellulitis and infectious abscess Day 5 and afterward. RESULTS: 170 children participated (May-November 2017). Baseline characteristics did not differ (p > 0.05) between groups. Children received 1-4 separate injections. There were no differences between swab and control groups in the incidence of any local skin reactions (58% vs. 54%), and specifically, pain (45% vs. 40%), redness (26% vs. 21%), swelling (20% vs. 13%), warmth (19% vs. 27%), and spontaneous drainage of pus (0% in both groups) over the post-vaccination follow-up period. Day 5 data was available for 99% of participants from diaries and telephone surveys; there were no cases of cellulitis or infectious abscess. CONCLUSION: These findings are the first direct evidence for vaccine injections demonstrating that cleansing the skin with alcohol may not be needed. Our study is underpowered; however, to detect a difference in incidence of skin infection, future research is recommended.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it