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Record W3021941094 · doi:10.1016/j.cjco.2020.04.006

Remote Ambulatory Cardiac Monitoring Before and After Transcatheter Aortic Valve Replacement

2020· article· en· W3021941094 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

VenueCJC Open · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsCardiologyMedicineAmbulatoryInternal medicineValve replacementCardiac catheterizationStenosis

Abstract

fetched live from OpenAlex

Remote ambulatory cardiac monitoring (rACM) could identify high-grade atrioventricular block (AVB) before and after transcatheter aortic valve replacement (TAVR). Retrospective analysis of patients undergoing TAVR, with 14-day rACM before and after TAVR, was performed. Of 62 patients undergoing TAVR, 41 patients had rACM before TAVR. Three patients had asymptomatic AVB leading to planned pacemaker (PM) implant. After TAVR, 23 patients had rACM, with 1 patient requiring a PM implant for asymptomatic AVB. Five patients underwent unplanned PM after TAVR. Using rACM, almost half of PM implants in TAVR recipients were identified electively. High-grade AVB requiring PM was identified in nearly 10% of patients before TAVR.

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 score0.023
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.018
GPT teacher head0.328
Teacher spread0.310 · 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