Bibliographic record
Abstract
The pathophysiology of endotoxic shock is complex. This review emphasizes the role of reactive oxygen species (ROS) in the pathophysiology of endotoxic shock and the effectiveness of flaxseed in amelioration of the deleterious effects of endotoxic shock on the cardiovascular function and health of the tissue. Endotoxic shock is associated with reduction in the cardiac function measured by cardiac index and left ventricular work index, cardiac contractility measured by dp/dt (rate of change of left ventricular pressure development), dp/dt at CPIP/PAW, where CPIP is common peak isovolumetric pressure and PAW is pulmonary arterial wedge pressure, arterial pressure, and cellular damage measured by increased plasma creatine kinase and elevated plasma lactate. It is also accompanied by increases in the generation of ROS by polymorphonuclear leukocytes, and cardiac lipid peroxidation product malondialdehyde (MDA) (cardiac MDA) and reduction in antioxidant reserve and antioxidant enzyme activity. Dimethylthiourea an antioxidant, prevented/reduced the endotoxic shock-induced changes in the cardiac function and contractility, arterial pressure, ROS generated by polymorphonuclear leucocytes; MDA, antioxidant reserve and antioxidant enzyme activity of cardiac tissue, and cellular health. Flaxseed which has antioxidant component ameliorated the endotoxic shock-induced changes in the cardiac function and contractility, arterial pressure, oxidative stress parameters and cellular health. In conclusion, the data suggest that ROS may play a role in the pathophysiology of endotoxic shock and that flaxseed, an antioxidant may have a role in the treatment of endotoxic shock.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".