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Record W4224244471 · doi:10.1097/rti.0000000000000652

Relationship Between Left Ventricular Strain Assessment by Cardiac Magnetic Resonance Imaging and Response to Cardiac Resynchronization Therapy

2022· article· en· W4224244471 on OpenAlex
Abhishek Rathi, Lauren Kanee, Maude Limoges, Kim A. Connelly, Laura Jiménez‐Juan, Anish Kirpalani, Paul Angaran, Arnold Pintér, Andrew T. Yan, Djeven P. Deva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Thoracic Imaging · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineCardiac resynchronization therapyEjection fractionCardiologyInternal medicineCardiac magnetic resonanceHeart failureCardiac magnetic resonance imagingMagnetic resonance imagingVentricular remodelingStrain (injury)Prospective cohort studyRadiology

Abstract

fetched live from OpenAlex

Although cardiac resynchronization therapy (CRT) is an established treatment for heart failure with reduced ejection fraction, 30 to 50% patients are non-responders. In this retrospective single-centre study, 19 patients underwent cardiac MRI pre-CRT, and global left ventricular (LV) strain and late gadolinium enhancement (LGE) were measured by a blinded reader. LV reverse remodeling was independently assessed using transthoracic echocardiogram before and after CRT implant. Both LV strain and extent of LGE correlated significantly with measures of reverse LV remodeling (reduction in LV volume and improvement in LV ejection fraction). These findings suggest that CMR derived strain analysis and scar evaluation may be useful preimplant predictors of response to CRT. Larger prospective multi-center studies are needed to confirm these findings and to further evaluate the role of CMR strain imaging in guiding CRT treatment decisions.

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.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.018
GPT teacher head0.342
Teacher spread0.324 · 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