Thrombus on Mitral Annular Calcification: A Systematic Review of Management and Outcomes
Bibliographic record
Abstract
Background: Mitral annular calcification (MAC) is a common chronic degenerative process of the mitral valve. Thrombus formation on MAC is a rare complication that likely contributes to the increased risk of thromboembolic events. Outcomes and management strategies for this condition are unknown. The aim of this study was to perform a systematic review to describe the management and outcomes of patients who have thrombus on MAC. Methods: The MEDLINE, Embase, and Cochrane databases were searched. Patients with a prior mitral valve intervention or prosthesis were excluded. The primary outcomes were treatment, mortality, and thromboembolic events. Results: Fifteen studies, with a total of 22 cases (patients aged 69.1 ± 14.8 years; n = 18 [82%] female) were included. Most patients presented with stroke or a transient ischemic event (n = 15; 68%) or myocardial infarction (n = 4; 18%). All patients were diagnosed with either transthoracic (n = 18; 82%) or transesophageal (n = 4; 18%) echocardiography. Seventeen patients (77%) were treated with anticoagulation therapy alone, and 5 (23%) required surgery. The most common surgical indication was prevention of recurrent embolization (n = 3; 14%). No mortality was reported. Six patients (27%) had thromboembolic events after diagnosis. For those treated with anticoagulation therapy alone, 5 (23%) had persistent thrombus with or without embolization. Conclusions: In this systematic review, patients with MAC who present with a thromboembolic event require careful echocardiographic assessment of the MAC, to exclude the presence of thrombus. Although most patients can be managed with anticoagulation therapy alone, a significant number will require surgery. Persistent thrombus, despite anticoagulation therapy, and recurrent embolization are common. Larger studies are needed to elucidate what constitutes the optimal long-term care for these patients.
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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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.010 | 0.011 |
| 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) | 0.003 | 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".