Communicable episodes 27 and 28: Late-breaker trials at ESCMID Global—should they change your practice?
Bibliographic record
Abstract
Communicable takes on a two-part series covering selected clinical trials presented at ESCMID Global 2025. Editors of CMI Comms, Marc Bonten, Josh Davis, Erin McCreary, Emily McDonald, all clinical trialists in their own right, take turns to summarise and discuss late-breaker trials presented at ESCMID Global 2025 in Vienna. Part 1 includes the CloCeBa trial on Staphylococcus aureus bacteraemia treatment options, the Taper V trial on vancomycin as prevention of recurrence for Clostridioides difficile infection, the ASTARTÉ trial on temocillin versus meropenem for bacteraemia due to third-generation cephalosporin-resistant Enterobacterales, the HARVEST trial investigating high doses of rifampicin for tuberculosis meningitis, and the CAP5 trial on shortening antibiotic treatment for community-acquired pneumonia.
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 | 0.023 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".