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Record W4409119482 · doi:10.1002/ejhf.3635

Cardiac Implantable Electronic and Other Monitoring Devices in Continuous-Flow Left Ventricular Assist Device Patients. A Clinical Consensus Statement of the Heart Failure Association and the European Heart Rhythm Association of the ESC

2025· review· en· W4409119482 on OpenAlexaff
Offer Amir, Stamatis Adamopoulos, Haran Burri, Antoni Bayés‐Genís, C. Leclercq, Maja Čikeš, Anastasia D. Egorova, Petr Peichl, Marat Fudim, Archana Rao, Finn Gustafsson, Sergio Richter, Matteo Pagnesi, Giuseppe M.C. Rosano, Frank Ruschitzka, Jens Cosedis Nielsen

Bibliographic record

VenueEuropean Journal of Heart Failure · 2025
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineHeart failureHeart RhythmCardiologyInternal medicineCardiac resynchronization therapyVentricular assist deviceRandomized controlled trialIntensive care medicineEjection fraction

Abstract

fetched live from OpenAlex

The management of heart failure patients with continuous-flow left ventricular assist device (LVAD) patients is challenging. While one third of these patients are recipients of cardiac implantable electronic devices (CIEDs), the risk for atrial and ventricular arrhythmias may coexist. The lack of large datasets and dedicated randomized controlled trials (RCTs) focusing on LVAD and CIED implantation and management has brought medical centres to develop their own protocols and guidelines. This clinical consensus statement of the Heart Failure Association and the European Heart Rhythm Association of the ESC is a joint effort to summarize the current literature and provide advice on patient management within this field.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.263
Teacher spread0.250 · 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
GenreReview

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

Citations8
Published2025
Admission routes1
Has abstractyes

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