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Record W4414294969 · doi:10.14740/jmc5150

Persistent Impairment of Coronary Microvascular Dysfunction After Percutaneous Coronary Intervention in an Ice Swimming Champion

2025· article· en· W4414294969 on OpenAlexvenueno aff
Gueladio Koné, Matthieu Godin, Alexandre Fuzeau, Arnaud Verdonck, François Raoux, Jean‐Nicolas Dacher, Laetitia Neuvillers, Julien Le Moal, Quentin Landolff

Bibliographic record

VenueJournal of Medical Cases · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
Fundersnot available
KeywordsPercutaneous coronary interventionConventional PCIChampionCoronary angiographyAnginaCoronary artery diseaseStentRestenosis

Abstract

fetched live from OpenAlex

Coronary microvascular dysfunction (CMD) is a recognized cause of persistent angina post-percutaneous coronary intervention (PCI), especially in patients without epicardial coronary stenosis. We report a case of a 58-year-old top-level sportsman and world champion ice swimmer with persistent dyspnea despite successful PCI for a mid-left anterior descending artery lesion. Follow-up angiography with optical coherence tomography showed no in-stent restenosis with good stent apposition. Angiography-derived microcirculatory resistance (AMR, Pulse Medical) and cardiac magnetic resonance imaging revealed CMD as the underlying etiology. This case demonstrates the utility and feasibility of AMR in identifying CMD post-PCI and supports its use in the diagnostic workup.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.010
GPT teacher head0.279
Teacher spread0.270 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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