Acute Respiratory Distress Syndrome (ARDS): Are corticosteroids harmful in lung injury
Bibliographic record
Abstract
ARDS is a rapidly evolving lung injury that is linked with permeability oedema and excessive inflammation, leading to a severe oxygenation defect. Albeit there has been significant progress in survival, ARDS mortality remains ~ 40 %. Glucocorticoids therapy has been proposed to decrease the inflammatory response, but its usage remains controversial. The objective of this study was to evaluate the impact of dexamethasone treatment (dex; 0.5 mg/kg/d) on the in vivo evolution of bleomycin‐induced (bleo; 4 U/kg) lung injury in NMRI mouse. Treatment with dex did not decrease the mortality, the weight loss, the wet/dry ratio, the severity of epithelial injuries and the inflammatory infiltrating of neutrophils induced by bleo. To better evaluate the lack of response to dex, the impact of dex on the repair process of primary epithelial cells was studied. Our results show that dex inhibits the closure of mechanical wound. This effect of dex is not related to a default of proliferation, or an activation of apoptosis. This inhibitory effect of dex on wound closure is associated with an increase in cell adhesion suggesting that its effect could be related a modulation of the cytoskeleton. Our results indicate that dex does not decrease the severity of lung injury model and might slow its recovery by preventing proper repair of the alveolar epithelium. Supported by RSR‐FRSQ, FCFK, IRSC.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".