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Record W2052560638 · doi:10.1097/fjc.0b013e3181e8af62

Captopril Treatment Temporarily Restores Cerebral Blood Flow Autoregulation in Spontaneously Hypertensive Rats After Hemorrhagic Stroke

2010· article· en· W2052560638 on OpenAlexafffund
Laura Davis, John S. Smeda

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2010
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsCaptoprilAutoregulationMedicineCerebral blood flowCerebral autoregulationStroke (engine)Blood pressureAnesthesiaInternal medicineCardiology

Abstract

fetched live from OpenAlex

Hemorrhagic stroke development in stroke-prone spontaneously hypertensive Kyoto Wistar rats (SHRsp) is associated with a loss of cerebral blood flow (CBF) autoregulation and death. We assessed the ability of poststroke captopril treatment to retard death and restore CBF autoregulation in SHRsp. Laser Doppler techniques were used to measure alterations in CBF with varying mean arterial pressure (MAP) in anesthetized SHRsp. Three weeks before stroke, all SHRsp autoregulated near constant CBF to an upper MAP limit of 155 +/- 4 mm Hg. CBF autoregulation was absent in half of the SHRsp at 0.5-2 weeks before stroke and nonexistent in SHRsp with stroke. Captopril treatment (50 mg kg(-1) d(-1)) initiated at the first signs of stroke (seizures) increased the lifespan of SHRsp from 10 +/- 3 to 124 +/- 18 days without lowering blood pressure and restored CBF autoregulation within 10 days. CBF autoregulation subsequently deteriorated where after 25 days of treatment, only 2 of 5 SHRsp maintained the ability to autoregulate CBF. We concluded that captopril treatment retarded death and new hemorrhage formation after stroke. The early restoration of autoregulation could prevent sudden death after stroke, but other mechanisms associated with poststroke captopril treatment act to prolong life in the presence of hypertension and absence of CBF autoregulation.

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 score0.190
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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

Citations6
Published2010
Admission routes2
Has abstractyes

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