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Record W2112585060 · doi:10.1510/icvts.2006.129684

Outcomes with Toronto stentless porcine aortic valve: the Australian experience

2006· article· en· W2112585060 on OpenAlexaboutno aff
S. Yadav, Andrew Hodge, A. D. Hilless, Peter Skillington

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
FundersSt. Jude Medical
KeywordsMedicineAortic valveConcomitantHemodynamicsAortic valve replacementCardiologySurgeryInternal medicineStenosis

Abstract

fetched live from OpenAlex

The purpose of this study is to describe the Australian experience with TSPV in the aortic position in 543 patients followed for up to 8 years. Prospectively collected data were reviewed. The average age was 73.5 years, with 74.4% older than 70 years. Eighty-five percent of valves were calcified and 79.5% stenotic. Most valves implanted (79.3%) were sizes 25, 27, or 29 mm. Concomitant coronary bypass was performed in 45.3% of patients. Total cumulative follow-up for the 543 patients was 2131 patient years. At 6 years, 82.1% and at 8 years, 76.3% were in New York Heart Association class I, 55% had no aortic insufficiency. The average mean systolic gradient for all valves at 6 years was 7.4 mmHg. The effective orifice area varied from 1.7 cm(2) (23-mm valve) to 1.96 cm(2) (29-mm valve). Actuarial survival at 8 years was 79.3%. Freedom from valve-related deaths was 93.2%. There was one instance of primary tissue valve failure during follow-up, with 93.3% freedom from explant. The early hemodynamic benefits of the TSPV are well maintained during more than 8 years of follow-up, without evident significant valvular dysfunction. Longer follow-up time is required to validate durability.

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)0.000
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 score0.026
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
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 head0.019
GPT teacher head0.338
Teacher spread0.319 · 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 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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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