Bibliographic record
Abstract
Tako‐Tsubo syndrome (TTS), or as previously known Tako‐Tsubo cardiomyopathy, is a form of transient LV systolic dysfunction that predominantly affects ageing women and is frequently but not always precipitated by an emotional or a physical stressor.1 A recent position statement on TTS in this journal provides a very comprehensive review of the clinical aspects of TTS along with the most recent ‘Heart Failure Association diagnostic criteria for TTS’.2 Mayo Clinic investigators proposed the initial definition of TTS in 2007.3 Since then, our understanding of TTS has significantly increased, and some important modifications have been made to the TTS diagnosis criteria by our colleagues from the Mayo Clinic, Sweden, Italy, and the European Society of Cardiology Heart Failure Association.2, 4-7 We consider TTS as a form of myocarditis where inflammation is induced by a sudden rise in catecholamine levels.1, 8 The evidence of inflammation of the myocardium in TTS has been confirmed by histological heart samples,9, 10 cardiac magnetic resonance imaging (MRI) studies,7 and by usual biochemical markers of inflammation.11 As per the recent position statement, viral myocarditis rightly remains an exclusion of TTS diagnosis. Similarly, other forms of infectious myocarditis should be excluded before making the diagnosis of TTS.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".