Drotrecogin alfa (activated; Xigris®): an effective and cost-efficient treatment for severe sepsis
Bibliographic record
Abstract
Severe sepsis is a common health problem with consequences for both patients and the healthcare system. Over the past 20 years, multiple immunomodulatory agents have been investigated in an unsuccessful attempt to decrease the morbidity and mortality of severe sepsis. Drotrecogin alfa (activated; Xigris) may represent a breakthrough in the treatment of sepsis. It has been demonstrated to have beneficial effects in decreasing biological markers of the severity of sepsis in preclinical and Phase II studies. A single, large Phase III trial has demonstrated the efficacy of drotrecogin alfa (activated) in a sample of patients with severe sepsis. This sample appears to be comparable with the general population of patients with severe sepsis. Three separate economic analyses have shown drotrecogin alfa (activated) to have a cost-utility ratio similar to other therapies that are currently funded, when used for the treatment of the most severely ill group of patients. This review provides an opinion that drotrecogin alfa (activated) is a cost-efficient therapy that should be considered as part of a standard of care in healthcare systems that can provide a modern critical care service.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".