Inflammation without Vascular Leakage. Science Fiction No Longer?
Bibliographic record
Abstract
Vascular leakage is a characteristic of critical illnesses such as septic shock and acute respiratory distress syndrome. It results in hypotension and tissue edema and contributes to organ dysfunction. It has long been taught that increased vascular permeability is a natural consequence of inflammation; in particular, many clinicians believe that it occurs inevitably during leukocyte recruitment to a site of infection. In fact, abundant research now indicates that vascular leakage and leukocyte emigration do not necessarily occur together in a blood vessel. The molecular mechanisms underpinning these processes-allowing leukocytes to exit the circulation without increasing vascular permeability-are starting to be elucidated and establish vascular leakage as a viable therapeutic target. Several preclinical studies indicate that vascular leakage can be reduced without impairing cytokine production, leukocyte recruitment, and pathogen clearance. The realization that leukocyte traffic and vascular permeability can be regulated separately should spur development of therapies that decrease vascular leakage and tissue edema without compromising the immune response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.018 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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".