Epilepsy and Takotsubo cardiomyopathy: a scope review
Bibliographic record
Abstract
Introduction. The incidence of sudden death is high in people with chronic epilepsy, especially in the presence of cardiovascular comorbidities, thus, there is a convergence between epilepsy and cardiovascular diseases, however the literature fails on systematic reviews analyzing the interface between epilepsy and Takotsubo cardiomyopathy. Objective. To verify the association between Takotsubo cardiomyopathy and neurological disorders, especially epilepsy. Method. This is a scope review, based on the PRISMA checklist. An advanced and high-sensitivity search was performed using the descriptors "epilepsy" and "Takotsubo cardiomyopathy" combined with the Boolean operator AND, in PubMED, Scientific Electronic Library Online, Portal Regional Biblioteca in Health, and CAPES Periodicals. Results. A total of 373 articles were identified and after applying the eligibility criteria, 14 works were selected to compose the bibliographic sample of this study. It demonstrates the relationship of people with epilepsy developing Takotsubo cardiomyopathy, especially women with advanced age, with comorbidities such as arterial hypertension, diabetes mellitus and hypercholesterolemia, and changes could be evidenced through electrocardiogram and transthoracic echocardiogram. Conclusion. ST-segment depression in the anterior wall and T-wave inversion on the electrocardiogram may suggest Takotsubo cardiomyopathy in people with epilepsy, and this monitoring is important because of the potential for seizures to lead to cardiac conditions. Transthoracic echocardiography is useful for identifying adverse events in people with the comorbidity. Knowledge about epidemiology and the complementary findings described can facilitate clinical reasoning for the diagnosis and management of the condition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".