Temperature Modulation (Hypothermic and Hyperthermic Conditions) and Its Influence on Histological and Behavioral Outcomes Following Cerebral Ischemia
Bibliographic record
Abstract
Core temperature (T(C)) is a critical determinant of the severity of neural damage that results from focal or global ischemia. Former studies indicated that especially intra-ischemic but also post ischemic mild hypothermia significantly decreased necrotic neural damage of a focal or global insult, as assessed between 3-7 days post-insult. More recent work shows that prolonged post-ischemic hypothermia reduces neural damage and inhibits associated behavioral deficits for up to one year after the insult (i.e. true neuroprotection with behavioral preservation). Alternatively, increases in core temperature via external heating or with pyrogens resulting from bacterial infections, at the time of the global ischemia insult worsen the neural damage of ischemic animals from those of respective normothermic controls given the same insult. This is paralleled in the clinical setting whereby approximately 50% of ischemic patients develop fevers within 2 days of the insult and have worsened neurological outcomes than non-febrile patients. The review discusses the possible mechanisms of neuroprotection of hypothermic therapy from cerebral ischemia as well as mechanisms involved in the exacerbation of neural damage of hypoxic ischemia under hyperthermic conditions. Questions are raised as to whether the medical community has sufficient evidence to begin appropriate hypothermic therapy of acute stroke patients. The importance of accurate monitoring core temperatures of all suspected stroke patients is emphasized, noting the differences in temperature that can occur with age, sex, medication or lifestyle so that appropriate temperature treatment could be implemented, if required.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".