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Record W2810819248 · doi:10.14740/jmc.v9i7.3079

Lesser Severity of Recurrent Takotsubo Cardiomyopathy While Taking Angiotensin II Receptor Blocker and Beta Blocker

2018· article· en· W2810819248 on OpenAlexvenueno aff
Nicole K. Zagelbaum, Ahmed AlBadri, Chrisandra Shufelt, Janet Wei, C. Noel Bairey Merz

Bibliographic record

VenueJournal of Medical Cases · 2018
Typearticle
Languageen
FieldMedicine
TopicTakotsubo Cardiomyopathy and Associated Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBeta blockerInternal medicineCardiomyopathyCardiologyTroponinAngiotensin receptorChest painHeart failureEtiologyAcute coronary syndromeAngiotensin IIReceptorMyocardial infarction

Abstract

fetched live from OpenAlex

Takotsubo cardiomyopathy (TC) is characterized by transient systolic and diastolic dysfunction, ventricular wall motion abnormalities and troponin elevation. The most common presenting symptoms are acute chest pain and dyspnea. The etiology is unknown but believed to be related to a surge in catecholamines as it is commonly associated with a preceding physical or emotional stress. Due to the lack of specific treatment, recurrence occurs in 2-12% of patients per year. We present a case of a patient with TC subsequently treated with an angiotensin II receptor blocker (ARB) and beta-adrenergic blocker (beta-blocker). A repeat TC episode 4 months later showed less severely abnormal cardiac enzymes, echocardiogram and overall hospital course. Because our patient experienced a classic episode of TC and a recurrent episode with milder symptoms and lower troponins, we hypothesize her medication regimen was a contributing factor to the milder manifestation of this cardiac syndrome. J Med Cases. 2018;9(7):201-203 doi: https://doi.org/10.14740/jmc3079w

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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