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Record W2727750907 · doi:10.14740/cr556w

Ticagrelor-Associated Conduction Disorder: A Case Report and Review of the Literature

2017· article· en· W2727750907 on OpenAlexvenueno aff
Mustafa Yurtdaş, Mahmut Özdemir

Bibliographic record

VenueCardiology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTicagrelorMedicineCardiologyInternal medicineMyocardial infarctionPercutaneous coronary interventionAtrioventricular blockHeart blockAnesthesiaElectrocardiography

Abstract

fetched live from OpenAlex

A 47-year-old female presented to emergency clinic due to non-ST-elevation myocardial infarction (NSTEMI). After receiving acetylsalicylic acid, a loading dose of ticagrelor 180 mg and intravenous unfractionated heparin, she underwent successful placement of drug eluting stent on the distal part of non-dominant left circumflex artery. The patient had no pre-existing atrioventricular (AV) block and did not use AV blocking agent. Approximately 10 h after taking a loading dose of ticagrelor, baseline normal rhythm degenerated to the first and then complete AV block, with mild dizziness. Following cessation of ticagrelor, cardiac rhythm returned to normal level within 2 days. The close monitoring of patients after starting ticagrelor is imperative, so ticagrelor may result in advanced conduction disorders. Here, we report a patient who developed various types of AV block associated with the ticagrelor taken during successful percutaneous coronary intervention for NSTEMI. We also reviewed the literature on the association between ticagrelor use and conduction abnormalities.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.058
GPT teacher head0.394
Teacher spread0.336 · 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 designCase report
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

Citations10
Published2017
Admission routes1
Has abstractyes

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