Transcatheter Closure of Patent Foramen Ovale in Patients With Peripheral (Noncerebrovascular) Embolism
Bibliographic record
Abstract
OBJECTIVES: Scarce data exist on noncerebrovascular peripheral embolism (NCPE) patients undergoing transcatheter patent foramen ovale (PFO) closure. The objectives of this study were to determine the clinical and procedural characteristics, and long-term outcomes of patients with NCPE undergoing transcatheter PFO closure. METHODS: This was a multicenter study including 1136 consecutive patients who underwent PFO closure after a thromboembolic event. Patients were divided into 2 groups according to the type of event leading to PFO closure, ie, cerebrovascular event (CVE, n = 1099 [96.7%]) and NCPE (n = 37 [3.3%]). The median follow-up was 3 years (interquartile range, 1-8), with follow-up complete in 98%. RESULTS: Patients in the NCPE group exhibited higher rates of prior or concomitant pulmonary embolism (29.7% vs 3.4%; P<.001), and prior myocardial infarction (24.3% vs 1.8%; P<.001). Most NCPE events were located in the limbs (41%), followed by coronary (27%) and renal/splenic/mesenteric arteries (12%). PFO closure was successful in all patients, with a low complication rate (<1%) in both groups. NCPE patients were more frequently treated with anticoagulation following PFO closure (63% vs 13%; P<.001). There were no differences between NCPE and CVE groups in death (0 per 100 patient years vs 0.4 per 100 patient-years; P=.53) or cerebrovascular events (1.3 per 100 patient-years vs 0.4 per 100 patient-years; P=.15) at follow-up. CONCLUSIONS: Patients with NCPE events undergoing PFO closure exhibited differential baseline characteristics compared with patients with CVEs; limbs and coronary arteries were the most frequent NCPE location. PFO closure results and long-term outcomes were similar to their CVE counterparts, with a very low rate of recurrent thromboembolic events. Further studies are needed in this population.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".