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Lessons in experimental ischemia for clinical stroke medicine.

2003· review· en· W2320179415 on OpenAlexaff
Nitin Chauhan, Zonghang Zhao, P A Barber, Alastair M. Buchan

Bibliographic record

VenuePubMed · 2003
Typereview
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineHypothermiaExcitotoxicityStroke (engine)IschemiaClinical trialNeuroprotectionBrain ischemiaIntensive care medicineCardiologyInternal medicineGlutamate receptor

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review covers experimental developments in the laboratory and their translation to clinical stroke trials over the year from 3 August 2001 to 2002. RECENT FINDINGS: Recent findings include novel observations in the areas of excitotoxicity, free radical injury, neuro-inflammation and apoptosis. A key clinical finding this year has been the translation of the effects of hypothermia in global ischemia to two successful trials in cardiac arrest with patients cooled within 4-8 h following resuscitation achieving good neurological outcomes, as compared with their normothermic controls. An era of molecular imaging in stroke research is presaged by the first reports of enhanced magnetic resonance or labeling with supramagnetic contrast agents. SUMMARY: Although none of the drugs in focal ischemia has translated from experimental models, for the first time there is evidence of cytoprotection for the brain that has been translated from the laboratory to man.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.008

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 head0.365
GPT teacher head0.509
Teacher spread0.145 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2003
Admission routes1
Has abstractyes

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