Editorial Commentary: Short‐Course Treatment of Community‐Acquired Pneumonia
Bibliographic record
Abstract
One of the unfortunate but abiding truisms of much of infectious diseases clinical practice is that we usually do not know how long to treat most infections. In an era of evidence-based medicine, there are very few studies that are in fact based on appropriately designed clinical trials and that are meant to guide us in terms of length of treatment. With the exception of treatment of uncomplicated cystitis, tonsillopharyngitis acute otitis media, and acute exacerbations of chronic bronchitis, this holds true for most organ system infections, including meningitis, pneumonia, intra-abdominal abscesses, and diabetic foot infections, to name just a few. For pneumonia, in general, and community-acquired pneumonia (CAP), in particular, the time interval of 1–2 weeks has gained acceptance as a rule of thumb for length of treatment of most patients. Generally, though, physicians tend to overtreat patients, and 2 weeks is the usual length of treatment, particularly for patients who require admission to the hospital.
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.
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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.024 | 0.024 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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".