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Record W1982404587 · doi:10.1139/y07-119

Spontaneous temperature changes in the 2-vessel occlusion model of cerebral ischemia in rats

2007· article· en· W1982404587 on OpenAlexafffundvenue
Darren Clark, Maxine DeButte-Smith, Frederick Colbourne

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2007
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchFondation pour la Recherche MédicaleHeart and Stroke Foundation of Canada
KeywordsHyperthermiaHypothermiaIschemiaHippocampal formationMedicineAnesthesiaOcclusionCardiologyCore temperatureCommon carotid arteryInternal medicineHippocampusCarotid arteries

Abstract

fetched live from OpenAlex

Transient global ischemia (ISC) in rats and humans causes selective and delayed neuronal death in the hippocampal CA1 sector. It is clear from rodent studies that hyperthermia aggravates, whereas hypothermia lessens, this injury. In this study we sought to relate core (Tc) and brain (Tb) temperature, measured via telemetry probes, after ISC produced in rats by bilateral common carotid artery occlusion combined with systemic hypotension (2-VO model). We also tested whether spontaneous postischemic temperature fluctuations occurred and whether they were related to cell death as previous studies indicate. We report that Tc and Tb readings are similar and are highly correlated before and after 10 min of 2-VO ISC. In the second experiment, rats were subjected to 8, 9, or 10 min of 2-VO ISC. Despite a range in CA1 injury among these animals, there was no evidence of post-ISC hyperthermia, contrary to earlier work, and neither temperature nor the physiological variables measured during ISC (e.g., glucose) predicted injury. Our findings suggest that, under the present conditions, 2-VO rats do not experience postoperative hyperthermia, which can be adequately measured with Tc telemetry probes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.288
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2007
Admission routes3
Has abstractyes

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