Initial clinical experience with the GORE septal occluder for the treatment of atrial septal defects and patent foramen ovale
Bibliographic record
Abstract
AIMS: To describe the initial experience with the GORE® septal occluder (GSO), a new septal occluder for the treatment of atrial septal defects (ASD) and patent foramen ovale (PFO). METHODS AND RESULTS: This was a prospective single-centre review of patients undergoing percutaneous closure for a PFO or ASD with the GSO. A clinical evaluation and follow-up echocardiography were performed at three months with transoesophageal echocardiography (TEE) in case of PFO and transthoracic echocardiography (TTE) in ASDs. Between July 2011 and February 2012, thirty-eight patients underwent PFO (n=29) or ASD (n=9) closure with the GSO using TEE (n=36, 94.7%) or intracardiac echocardiography (n=2, 5.3%) guidance. In PFOs, three-month TEE was available in 24 patients and showed no residual shunt in 18 (75%), bubble shunt in two (8.3%) and bubble shunt after Valsalva in four (16.7%). In ASDs, three-month TTE showed no shunt in eight patients (88.8%) and residual shunt in one patient (11.2%). There was no device embolisation, air embolism, procedure-related stroke or pericardial effusion. No neurological events occurred during the follow-up period. CONCLUSIONS: This initial experience with the new GSO device has demonstrated acceptable safety with no procedural complications and acceptable efficacy with low rates of residual shunting at three-month follow-up.
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.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".