Doripenem: A New Carbapenem in the Treatment of Nosocomial Infection
Bibliographic record
Abstract
Difficult-to-treat infections caused by gram-negative pathogens are common in the hospital setting, particularly those caused by Pseudomonas aeruginosa, Acinetobacter species, and extended-spectrum beta-lactamase-producing Enterobacteriaceae, all of which are capable of developing resistance to common antimicrobial agents. New drugs are urgently needed to combat this threat. In this supplement, researchers in infectious diseases discuss the role of doripenem, a newly approved carbapenem, in the treatment of serious nosocomial infections and review new data on doripenem for the treatment of nosocomial pneumonia, including ventilator-associated pneumonia. The topics addressed include antimicrobial resistance and the available therapeutic options against gram-negative pathogens, the in vitro activity of doripenem, the efficacy and safety of intravenous infusion of doripenem, and the clinical and economic consequences of ventilator-associated pneumonia. Based on the strength of the clinical evidence presented, doripenem appears to provide broad-spectrum coverage and antipseudomonal activity, leading to advantageous clinical outcomes, particularly in patients at risk of infection with drug-resistant pathogens.
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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 | 0.000 | 0.000 |
| 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".