Telavancin in the treatment of invasive Gram-positive infections
Bibliographic record
Abstract
Yoav Keynan,1–4 Ethan Rubinstein2,31Department of Community Health Sciences, 2Department of Medical Microbiology, 3Department of Internal Medicine, University of Manitoba, Winnipeg, Canada; 4Department of Medical Microbiology, University of Nairobi, Nairobi, KenyaAbstract: Telavancin is a newer once-daily lipoglycopeptide with activity against Gram-positive bacteria, including those that are resistant to conventional antibiotics like beta-lactams. The results of recent clinical trials led to registration of telavancin for use in skin and skin structure infections in the US and Canada and for nosocomial pneumonia in Europe, based primarily on the favorable results of clinical trials. We review the evidence for use of telavancin in Gram-positive intravascular infections, focusing on bacteremic subpopulations in the large clinical trials as well as anecdotal evidence for use of the drug in the setting of infective endocarditis.Keywords: telavancin, Gram-positive bacteria, skin infections, infective endocarditis
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".