International survey of paediatric infectious diseases consultants on the management of community‐acquired pneumonia complicated by pleural empyema
Bibliographic record
Abstract
AIM: Community-acquired pneumonia (CAP) complicated by pleural empyema is an important paediatric problem. Antibiotic management decisions are made on the basis of little available data and without strong specific recommendations in guidelines. METHODS: This was an online survey of paediatric infectious diseases (PID) physicians disseminated by major international professional organisations, examining empiric and targeted antibiotic choice, switch to oral antibiotics and duration of treatment for two hypothetical cases of contrasting severity. RESULTS: This study included 183 responses, mostly from North America, Western Europe and Australia/New Zealand. Increased disease severity was significantly associated with broader-spectrum and combination empiric and targeted antibiotic treatment, empiric methicillin-resistant Staphylococcus aureus (MRSA) coverage and both longer intravenous (IV) and total duration of antibiotic treatment. Empirical MRSA coverage was also associated with local prevalence. Clinical progress was most important for determining the timing of the switch from IV to oral antibiotics. Few respondents chose antibiotics with activity against organisms associated with atypical pneumonia (e.g. Mycoplasma, Chlamydia), and most did not choose agents that inhibit protein synthesis (e.g. clindamycin), even in the case of a severe invasive group A streptococcal infection. Some variation in targeted treatment choices reflected areas of uncertainty, such as Streptococcus pneumoniae susceptibility breakpoints, comparative effectiveness of anti-staphylococcal penicillins and first-generation cephalosporins for serious S. aureus infections and linezolid and vancomycin for MRSA pneumonia. CONCLUSIONS: This international survey of PID physicians highlights the priority targets for clinical research to improve antibiotic treatment of CAP complicated by empyema. Interventions that might be studied include empirical antibiotic guidelines stratified by case severity, adjunctive empirical use of agents that inhibit protein synthesis (e.g. clindamycin) and approaches to encourage rapid IV-to-oral switch and shorter total antibiotic treatment.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".