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Record W2407894578 · doi:10.1093/europace/euw072

Cost effectiveness of LAA closure in patients with AF and contraindications to warfarin: comment

2016· letter· en· W2407894578 on OpenAlexaff
Emilie P. Belley‐Côté, Iqbal Jaffer, André Lamy, Richard Whitlock

Bibliographic record

VenueEP Europace · 2016
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicinePercutaneousAtrial fibrillationPericardial effusionWarfarinClosure (psychology)Stroke (engine)CardiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

We read with great interest the recent report on the time to cost effectiveness of different stroke reduction strategies in atrial fibrillation by Reddy et al. in your journal.1 This study evaluated the costs of percutaneous left atrial appendage closure (LAAC) using the Watchman device (Boston Scientific, Marlborough, MA). As pointed out by the authors, procedures to implement percutaneous devices are associated with a 6.7% short-term risk of major complications (air embolism, major bleeding, and pericardial effusion). Moreover, the device and technical platform necessary for the procedure come at a significant cost (€9136). Despite these downsides, assuming a willingness-to-pay threshold of €30 000 per quality-adjusted life-year gained, the authors found that relative to both aspirin and apixaban, LAAC was cost effective at 8 years. Left atrial appendage closure was also likely cost effective in patients with contraindications to warfarin at 10 years. From our perspective, these compelling results regarding percutaneous LAAC highlight the gaps in knowledge surrounding opportunistic surgical LAAC in patients undergoing another indicated cardiac surgery procedure. Opportunistic surgical LAAC comes at a minimal cost as it can successfully be performed using sutures or staples2 and does not seem to significantly prolong cross-clamp time.2,3 Additionally, small randomized controlled trials (RCTs) found no increase in post-operative complications in patients undergoing LAAC when compared with a control group; these RCTs were underpowered to definitively evaluate the impact of surgical LAAC on clinical outcomes.2,3 However, if surgical LAAC was to decrease stroke and peripheral embolism to an extent similar to percutaneous LAAC, but with lower upfront costs and risks, opportunistic surgical LAAC could become a standard of care. Despite the exciting results associated with percutaneous LAAC, caution is warranted when extrapolating results obtained with a different procedure in a distinct population. In particular, patients undergoing cardiac surgery more commonly suffer from valvular atrial fibrillation, in which it has been suggested that thrombi form more frequently outside of the left atrial appendage.4 Whether opportunistic surgical LAAC is beneficial and cost effective will be answered definitively by the ongoing Left Atrial Appendage Occlusion Study III (LAAOS III, NCT01561651), a 4700-patient RCT of surgical LAAC in patients with a history of atrial fibrillation and a CHA2SD2-VASc score of ≥2.5 As of January 2016, 1500 patients have been randomized in LAAOS III, which is expected to complete an average of 4 years of follow-up in 2020. Conflict of interest: R.P.W. has received consultancy fees from AtriCure and Armetheon. I.J. discloses research support from CCS-Bayer Cardiovascular Resident Prize and Boehringer-Ingelheim.

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)0.004
metaresearch head score (Gemma)0.043
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.022
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0220.019
Insufficient payload (model declined to judge)0.0070.004

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 head0.311
Teacher spread0.269 · 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
Published2016
Admission routes1
Has abstractyes

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