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Record W4280514128 · doi:10.1016/j.shj.2022.100030

One-Year Outcomes of Early, Compassionate Use of the PASCAL Ace Implant System for Transcatheter Mitral Valve Repair

2022· article· en· W4280514128 on OpenAlex

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

VenueStructural Heart · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Michael's HospitalSt. Paul's Hospital
FundersEdwards Lifesciences
KeywordsMedicineImplantObservational studyMitral regurgitationPopulationSurgeryEtiologyInternal medicineCardiology

Abstract

fetched live from OpenAlex

Background: Continued development of transcatheter mitral repair technologies is needed to address the large and diverse population of high-risk patients with symptomatic mitral regurgitation (MR). The new PASCAL Ace implant system, with its narrower profile, complements the original PASCAL transcatheter valve repair system. The aim of this study is to report 1-year outcomes from the early, compassionate-use observational experience with the novel PASCAL Ace implant system. Methods: After heart team assessment, adults with symptomatic moderate-to-severe (3+) or severe (4+) MR despite optimal medical therapy were treated under compassionate use at 3 hospitals internationally. Data were prospectively collected, and outcomes were assessed over a 12-month follow-up period. Results: < 0.001). Conclusions: At 1 year, the PASCAL Ace implant system demonstrated feasibility in this early, compassionate use experience in a small group of symptomatic patients with anatomically complex MR. The unique features of the PASCAL Ace implant may expand the treatable MR population.

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)0.000
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 score0.006
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.007
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 head0.028
GPT teacher head0.321
Teacher spread0.293 · 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