MétaCan
Menu
Back to cohort
Record W1998353404 · doi:10.1002/micr.20351

Comparison of two rat models of cerebral ischemia under hyperglycemic conditions

2007· article· en· W1998353404 on OpenAlexaff
Longshan Liu, Ziying Wang, Xiang Wang, Lijun Song, Hui-Fang Chen, Chantal Bémeur, Line Ste‐Marie, Jane Montgomery

Bibliographic record

VenueMicrosurgery · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsHôpital Saint-LucMontreal Neurological Institute and HospitalUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineIschemiaLesionStroke (engine)Oxidative stressInfarctionAscorbic acidCerebral infarctionAnesthesiaCerebral cortexInternal medicineSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

Hyperglycemia worsens outcome of stroke either in the clinical setting or in animal models. In the present study, two focal cerebral ischemia models, permanent middle cerebral artery occlusion (MCAO, 3-4 h) and reversible MCAO (1 h ischemia + 3 h reperfusion), under hyperglycemic conditions were compared. Using 2,3,5-triphenyltetrazolium chloride staining to define viable tissue, this resulted in the infarction area being confined primarily to the cerebral cortex in the permanent MCAO group, while it extended to the subcortical area in the reversible MCAO group, and the lesion areas were respectively 27.7 +/- 5.3% and 46.8 +/- 12.0% of the ipsilateral hemisphere (P = 0.012). Hyperglycemia accelerated the cerebral damage compared to normoglycemia and ascorbic acid pre-treatment maintained tissue viability during the acute phase of hyperglycemic MCAO. In conclusion, hyperglycemia combined with either of the two MCAO models resulted in rapid infarction associated with increased oxidative stress. The hyperglycemic models are suitable for pharmaceutical therapeutic studies of antioxidant efficacy.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.375
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMicrosurgerySame topicAdvanced Glycation End Products researchFrench-language works237,207