Impact of vaccination on antibiotic usage: a systematic review and meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Vaccines may reduce antibiotic use and the development of resistance. OBJECTIVES: To provide a comprehensive, up-to-date assessment of the evidence base relating to the effect of vaccines on antibiotic use. DATA SOURCES: Ovid MEDLINE, Embase, the Cochrane Library, ClinicalTrials.gov and WHO Trials Registry. STUDY ELIGIBILITY CRITERIA: Randomized controlled trials (RCTs) and observational studies published from January 1998 to March 2018. PARTICIPANTS: Any population. INTERVENTIONS: Vaccines versus placebo, no vaccine or another vaccine. METHODS: Titles, abstracts and full-texts were screened independently by two reviewers. Certainty of RCT evidence was assessed using GRADE. RESULTS: In all, 4980 records identified; 895 full-text reports assessed; 96 studies included (24 RCTs, 72 observational). There was high-certainty evidence that influenza vaccine reduces days of antibiotic use among healthy adults (one RCT; n = 4253; rate reduction 28·1%; 95% CI 16·0-38·4); moderate-certainty evidence that influenza vaccines probably reduce antibiotic use in children aged 6 months to 14 years (three RCTs; n = 610; ratio of means 0·62; 95% CI 0·54-0·70) and probably reduce community antibiotic use in children aged 3-15 years (one RCT; n = 10 985 person-seasons; risk ratio 0·69, 95% CI 0·58-0·83); and moderate-certainty evidence that pneumococcal vaccination probably reduces antibiotic use in children aged 6 weeks to 6 years (two RCTs; n = 47 945; rate ratio 0·93, 95% CI 0·87-0·99) and reduces illness episodes requiring antibiotics in children aged 12-35 months (one RCT; n = 264; rate ratio 0·85, 95% CI 0·75-0·97). Other RCT evidence was of low or very low certainty, and observational evidence was affected by confounding. CONCLUSIONS: The evidence base is poor. Although some vaccines may reduce antibiotic use, collection of high-quality data in future vaccine trials is needed to improve the evidence base. PROSPERO REGISTRATION: CRD42018103881.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| 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 | 0.001 | 0.001 |
| 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 it