Transcatheter treatment of postinfarct ventricular septal defects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Postinfarct ventricular septal defects (VSDs) are a mechanical complication of acute myocardial infarction (AMI) with a very poor prognosis. They are estimated to occur in 0.2% of patients presenting with AMI, with 1-month survival of 6% without intervention. Guidelines recommend surgical repair, but recent advances in transcatheter technology, and bespoke device development, mean it is increasingly viable as a closure option. Surgical mortality is between 30% and 50% for all-comers, while in series of transcatheter closure, mortality was 32%. Transcatheter closure appears durable, with no evidence of late leaks and low long-term mortality in series with up to 5-year follow-up. Guidelines recommend early closure, which is likely to provide most benefit for patients regardless of the closure method. Multimodality cardiac imaging including echocardiography, CT and cardiac MRI can define size, shape, location of defects and their relationship to other cardiac structures, assisting with treatment decisions. Brief delay to allow stabilisation of the patient is appropriate, but untreated patients risk rapid deterioration. Mechanical circulatory support may be helpful, although the preferred modality is unclear. Transcatheter closure involves large bore venous access and the formation of an arteriovenous loop (under fluoroscopic and trans-oesophageal echocardiographic guidance) in order to facilitate deployment of the device in the defect and close the postinfarct VSD. Guidelines suggest transcatheter closure as an alternative to surgical repair in centres where appropriate expertise exists, but decisions for all patients with postinfarct VSD should be led by the multidisciplinary heart team.
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.
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 | 0.005 |
| 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 it