Common harms from amoxicillin: a systematic review and meta-analysis of randomized placebo-controlled trials for any indication
Bibliographic record
Abstract
BACKGROUND: When prescribing antibiotics for common indications, clinicians need information about both harms and benefits, information that is currently available only from observational studies. We quantified the common harms of the most frequently prescribed antibiotic, amoxicillin, from randomized placebo-controlled trials. METHODS: For this systematic review, we searched MEDLINE, Embase and the Cochrane Central Register of Controlled Trials, without language restriction, for any randomized, participant-blinded, placebo-controlled trials of amoxicillin or amoxicillin-clavulanic acid for any indication, in any setting. Our main outcome was any reported adverse event. RESULTS: Of 730 studies identified, we included 45 trials: 27 involving amoxicillin, 17 involving amoxicillin-clavulanic acid and 1 involving both. The indications for antibiotic therapy were variable. The risk of bias was low, although only 25 trials provided data suitable for assessment of harms, which suggested under-reporting. Diarrhea was attributed to amoxicillin only in the form of amoxicillin-clavulanic acid (Peto odds ratio [OR] 3.30, 95% confidence interval [CI] 2.23-4.87). The OR for candidiasis (3 trials) was significantly higher (OR 7.77, 95% CI 2.23-27.11). Rashes, nausea, itching, vomiting and abnormal results on liver function tests were not significantly increased. The results were not altered by sensitivity analyses, nor did funnel plots suggest publication bias. The number of courses of antibiotics needed to harm was 10 (95% CI 6-17) for diarrhea with amoxicillin-clavulanic acid and 27 (95% CI 24-42) for candidiasis with amoxicillin (with or without clavulanic acid). INTERPRETATION: Diarrhea was caused by use of amoxicillin-clavulanic acid, and candidiasis was caused by both amoxicillin and amoxicillin-clavulanic acid. Harms were poorly reported in most trials, and their true incidence may have been higher than reported. Nevertheless, these rates of common harms associated with amoxicillin therapy may inform decisions by helping clinicians to balance harms against benefits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.086 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.029 | 0.046 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".