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Acetylsalicylic acid reduces perfusion deficit in ischemic injured brain in rats

2003· article· en· W1996019480 on OpenAlexaff
Ghias Uddin, Munawar Hussain, Chen Xu Wang, Kathryn G. Todd, Ashfaq Shuaib

Bibliographic record

VenueNeuroreport · 2003
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePerfusionStroke (engine)AnesthesiaMiddle cerebral arteryIschemiaOcclusionPerfusion scanningCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Acetylsalicylic acid (ASA) is an antiplatelet agent which has been used in treatment and prevention of stroke in humans. In the present study, the effects of ASA on perfusion deficits in the brain have been studied in an embolic model of stroke. Data showed that perfusion deficits were observed in all rats sacrificed immediately after middle cerebral artery (MCA) occlusion. Treatment with ASA significantly reduced perfusion deficits 1 h but not 3 h after the MCA occlusion. These findings thus support that ASA is useful agent in treatment and prevention of stroke, and show that its mechanism of action is likely through the reopening of cerebral microvessels.

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)0.000
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 score0.216
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.269
Teacher spread0.255 · 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

Citations10
Published2003
Admission routes1
Has abstractyes

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