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Record W2013758792 · doi:10.1007/s12471-013-0507-7

Antiplatelet therapy following TAVI: time to randomise

2014· article· en· W2013758792 on OpenAlexaboutno aff
Ronak Delewi, Jan J. Piek

Bibliographic record

VenueNetherlands Heart Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineComputer science

Abstract

fetched live from OpenAlex

Following the introduction of transcatheter aortic valve im-plantation (TAVI), it is now possible to treat elderly patients with severe aortic stenosis and a high surgical risk. This advancement in interventional cardiology has led to increased survival, health status and quality of life. However, as with many invasive interventional procedures, TAVI is associated with the risk of cerebral embolisation and consequent ischae-mic cerebrovascular events with possible neurological impair-ment. The risk estimates of post-procedural stroke associated with TAVI vary from 1.5 to 10 % and have been reported both early and late after the procedure. In the PARTNER Cohort B study, the Canadian multicentre TAVI registry and the study by Nuis et al., about 50 % of the stroke events occurred more than 24 h post-procedure [1]. In addition to clinically overt stroke, asymptomatic silent cerebral infarcts have been fre-

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)0.053
metaresearch head score (Gemma)0.153
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.153
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.009
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0030.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0590.010

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 head0.013
GPT teacher head0.334
Teacher spread0.321 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueNetherlands Heart Journal→Same topicCardiac Valve Diseases and Treatments→French-language works237,207→