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Record W3003643612 · doi:10.1159/000505261

Implantation of a Coronary Sinus Reducer to Treat Refractory Angina in a 38-Year-Old with an Anomalous Left Coronary Artery and No Revascularization Options

2020· article· en· W3003643612 on OpenAlexaboutno aff
Kevin Cheng, Ranil de Silva

Bibliographic record

VenueCardiology · 2020
Typearticle
Languageen
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsnot available
FundersNational Institute for Health and Care Research
KeywordsMedicineCardiologyAnginaInternal medicineCanadian Cardiovascular SocietyContext (archaeology)RevascularizationCoronary sinusArteryCoronary artery diseaseStentMyocardial infarction

Abstract

fetched live from OpenAlex

A 38-year-old female with anomalous left coronary artery from the pulmonary artery presented with refractory angina (Canadian Cardiovascular Society [CCS] class 4). Having failed two previous internal mammary artery grafts to the left anterior descending artery and with no percutaneous revascularization options, she underwent coronary sinus reducer implantation, which improved her symptoms (CCS 0), quality of life, and corresponded to an improvement in ischemia on myocardial perfusion scanning. This case report describes an unusual case of refractory angina in the context of congenital heart disease, illustrates the benefit of this novel hourglass-shaped stent in improving ischemia, quality of life, depression and anxiety, and highlights the importance of managing these patients in multidisciplinary teams.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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
GenreEmpirical

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

Citations1
Published2020
Admission routes1
Has abstractyes

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