MétaCan
Menu
Back to cohort
Record W2970723733 · doi:10.1016/j.jacbts.2019.04.002

Adaptive Reductions in Left Ventricular Diastolic Compliance Protect the Heart From Stretch-Induced Stunning

2019· article· en· W2970723733 on OpenAlexaff
Brian R. Weil, George Techiryan, Gen Suzuki, Filip Konečný, John M. Canty

Bibliographic record

VenueJACC Basic to Translational Science · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsMcMaster University
FundersNational Heart, Lung, and Blood InstituteNew York State Department of HealthNational Center for Advancing Translational SciencesAmerican Heart AssociationU.S. Department of Veterans Affairs
KeywordsCardiologyMedicineInternal medicineCompliance (psychology)DiastoleMuscle hypertrophyPressure overloadMyocyteEjection fractionHeart failureCardiac hypertrophyBlood pressure

Abstract

fetched live from OpenAlex

Swine subjected to 2 weeks of repetitive pressure overload (RPO) exhibited significant myocyte loss, but left ventricular (LV) systolic function was preserved, and chamber dilatation did not occur. Instead, myocardial remodeling characterized by myocyte hypertrophy and interstitial fibrosis led to a marked reduction in LV diastolic compliance, which protected the heart from stretch-induced myocyte injury and preserved LV ejection fraction without anatomic LV hypertrophy. These results support a novel paradigm that links cardiac adaptations to RPO with the pathogenesis of reduced LV diastolic compliance and may explain how LV stiffening can occur in the absence of sustained hypertension or anatomic hypertrophy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.042
GPT teacher head0.291
Teacher spread0.249 · 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

Citations24
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJACC Basic to Translational ScienceSame topicCardiovascular Function and Risk FactorsFrench-language works237,207