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Angiotensin Receptor Blocker Has no Effect on Atherosclerotic Factors in AVS

2012· article· en· W2017779642 on OpenAlexaff
Zachary B. Armstrong, Derek R. Boughner, Colin P. Carruthers, Maria Drangova, Kem A. Rogers

Bibliographic record

VenueQScience Proceedings · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsOlmesartanMedicineAtorvastatinRosuvastatinInternal medicineStatinCholesterolPopulationEndocrinologyUrologyCardiologyGastroenterology

Abstract

fetched live from OpenAlex

Abstract Aortic valve sclerosis (AVS) is a chronic progressive disease affecting 25% of the population over the age of 65. Despite this high prevalence, there are currently no preventative therapies which inhibit the progression of AVS. This study sought to determine the effects of an angiotensin II type 1 receptor blocker (ARB), alone or in combination with a statin, on AVS. Male New Zealand White rabbits were fed either regular chow (Control, n=5) or an atherogenic diet for a period of 18 months to induce AVS. Recognizing the clinical reality, therapy was introduced after disease onset. After 12 months, rabbits were block randomly assigned to four groups receiving either no treatment (Cholesterol, n=6), olmesartan medoxomil (Olmesartan, n=7), atorvastatin calcium (Atorvastatin, n=7), or a combination of both drugs (Combination, n=7) for the final 6 months. Magnetic resonance imaging (MRI) was used to monitor disease progress throughout the treatment period. After sacrifice, valve lesions were analyzed using histology and immunohistochemistry. In vivo disease monitoring yielded no discernible treatment effect. While Cholesterol cusps were significantly thicker than Control throughout the treatment period (0.465 ± 0.030 vs 0.388 ± 0.023mm for Cholesterol and Control, respectively, at 18 months), the various treatments had no positive effect on cusp thickness, and were all identical to Cholesterol at 18 months. Aortic valve area provided similar results; while significant disease was established (0.379 ± 0.033 vs 0.623 ± 0.074cm2 for Cholesterol and Control, respectively, at 18 months), there were no significant differences between treatment groups. Histological analysis of Cholesterol, Atorvastatin, Olmesartan, and Combination cusps revealed fibrosal thickening, lipid deposition, macrophage infiltration, and minor calcification. However, morphological analysis did not reveal significant differences in lesion composition among the treatment groups. Treatment efficacy was confirmed by analysis of aortic lesion area which revealed a significant reduction of atherosclerosis in Olmesartan-treated animals. Neither olmesartan medoxomil nor atorvastatin calcium, alone or in combination, provide demonstrable benefit in the treatment of established AVS despite success in the treatment of atherosclerosis.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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 designObservational
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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