Pro/con clinical debate: pulmonary artery catheters increase the morbidity and mortality of intensive care unit patients.
Bibliographic record
Abstract
One of the highlights of the intensive care unit when I was a resident was the opportunity to place a pulmonary artery catheter and then spend the rest of the day calculating parameters such as oxygen delivery, oxygen consumption, intrapulmonary shunt fraction, and so on. I have noticed in the past few years that the use of these devices in our unit is much less frequent. In our case I am not absolutely certain of the reason for this. Perhaps with time our clinical sense has improved to the point that we do not need the data available, perhaps other tests have replaced the pulmonary artery catheter's role or perhaps we are worried about the possible morbidity/mortality associated with its use. In the present article, we revisit this important debate.
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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 | 0.037 | 0.104 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.031 | 0.039 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".