Further Progress in Understanding Fibrosing Mediastinitis
Bibliographic record
Abstract
A potential concern is the effect of exogenous flow on endogenous cardiac output.Assessment of this relationship is complex (12); however, it is unlikely that native cardiac output would perfectly adjust (increasing or decreasing) to match the induced ECMO flow variations.Thus, if _ VO 2 was dependent on _ DO 2 , we would expect to see some correlating fluctuation.This conclusion is reinforced by the fact that the pattern of _ DO 2 versus _ VO 2 in the full cohort was identical to that in two patients without endogenous cardiac output (Figure 1).Finally, although O 2 supply dependency has traditionally been proposed in patients with sepsis (1), careful delineation of _ DO 2 -_ VO 2 relationships in individual patients reveals no differences between patients with proven sepsis versus those without sepsis (6); patients in the current had elevated inflammatory markers (e.g., CRP .50 mg/L in most), suggesting important systemic inflammation (see Table E6).In summary, we studied the _ DO 2 -_ VO 2 relationships in hemodynamically resuscitated critically ill patients with evidence of systemic inflammation receiving VA ECMO and found _ VO 2 to be independent of _ DO 2 in the ranges studied.Clinical trial registered with www.clinicaltrials.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".