Antibiotic prescribing and use of corticosteroids for the emergency department management of acute uncomplicated pharyngitis
Bibliographic record
Abstract
BACKGROUND: Acute pharyngitis is common in the ambulatory setting. The Modified Centor score uses five criteria to predict Group A Streptococcus (GAS) infection and can be used to guide management. OBJECTIVE: The objective of this study was to describe the emergency department (ED) management (throat cultures, antibiotics and corticosteroids) of acute, uncomplicated pharyngitis by Centor score. METHODS: This was a retrospective chart review of adult (>17 years) patients with an ED discharge diagnosis of acute pharyngitis from January 2016 to December 2018. RESULTS: Of 638 patients included, 286 (44.8%) had a Centor score of 0-1, 328 (51.4%) had a score of 2-3 and 24 (3.8%) had a score of ≥4. Of those with a Centor score of 0-1, 83 (29.0%) had a throat culture, 88 (30.8%) were prescribed antibiotics, 15 (5.2%) were positive for GAS and 74 (25.9%) received corticosteroids. Of those with a Centor score of 2-3, 156 (47.6%) had a throat culture, 220 (67.1%) were prescribed antibiotics, 44 (13.4%) were positive for GAS and 145 (44.2%) received corticosteroids. Of those with a Centor score ≥4, 14 (58.3%) had a throat culture, 18 (75.0%) were prescribed antibiotics, 7 (29.2%) were positive for GAS and 12 (50.0%) received corticosteroids. CONCLUSIONS: A higher Centor score was associated with a higher risk of GAS infection, increased antibiotic prescribing and use of corticosteroids. Many patients with low Centor scores were prescribed antibiotics and had throat cultures. Further work is required to understand clinical decision-making for the management of acute pharyngitis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 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".