Does Vasopressin Infusion Improve the Outcome of Severe Septic-Shock without any Adverse Effects?
Bibliographic record
Abstract
McDonald Research Laboratories/The iCAPTURE Centre, Providence Health Care, Vancouver, British Columbia, Canada. kwalley@mrl.ubc.caWe agree with Dr. Iijima et al. who reemphasize that our study of a short-term vasopressin infusion in patients with severe septic shock does not address the key issue of survival. Furthermore, they point out that longer duration infusions may be associated with potentially adverse effects. Our current study was not designed to address survival. Nevertheless, we found that 1 of 11 patients who received norepinephrine infusion survived to hospital discharge while 5 of 13 patients who received vasopressin infusion survived. We think that the results of our 4 h study are not sufficient by themselves to advocate the use of vasopressin in patients with severe septic shock. A properly powered, randomized, controlled trial with an important primary end-point, such as survival, is required.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".