Beyond cardiac embolism and cryptogenic stroke: unveiling the mechanisms of cerebrovascular events in Chagas disease
Bibliographic record
Abstract
, remains a significant public health challenge with evolving epidemiological patterns due to migration and globalization. While its cardiac complications are well-characterized, stroke represents an underrecognized yet devastating manifestation, occurring in 3%-20% of patients. Traditionally viewed primarily as a cardioembolic pathophysiology, emerging evidence suggests a more complex pathophysiologic mechanism involving inflammatory, prothrombotic, and microvascular processes. This narrative review examines the multifaceted mechanisms underlying stroke in Chagas disease, integrating recent insights into both cardiac and non-cardiac pathways. We analysed current approaches to risk stratification and prevention, including the utility of the IPEC-FIOCRUZ score and limitations in implementing anticoagulation strategies. This review also addresses emerging challenges, such as the aging of affected populations and limited disease recognition in non-endemic regions, while highlighting opportunities for improving care.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".