A biodegradable device (BioSTAR™) for atrial septal defect closure in children
Bibliographic record
Abstract
BACKGROUND: Percutaneous closure of atrial defects (ASD) has evolved as the treatment of choice for the majority of defects and patent oval foramens. The BioSTAR biodegradable implant avoids many issues associated with devices containing substantial amounts of metal. METHODS: Reviewed was a consecutive series of 10 ASD occlusions in a pediatric population with the BioSTAR biodegradable device. All implantations were performed by one operator. The inclusion criterion was a balloon stretched ASD diameter of < or =16 mm. Procedural data and acute and early-term closure rates were retrospectively matched to a cohort of children having defect closure using the Amplatzer Septal Occluder (ASO). RESULTS: Acute and 6 month follow up closure rates for the BioSTAR were 90% and 100% vs. 100% and 100% closure with the ASO implants. There was a statistically significant difference in the median procedure time (52 min: BioSTAR; 39.5 min: ASO device, P < 0.05), with fluoroscopy times slightly longer for the BioSTAR group (6.7 min vs. 6.1 min, P = ns). There were no significant complications in either group. CONCLUSIONS: The BioSTAR implant can achieve comparable closure rates to the ASO in small- to moderate-atrial septal defects with only a minimal skeleton of foreign material remaining after 6 months. Longer fluoroscopy and procedure times were a drawback; however, these should improve with familiarity with the implant and deployment system.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.009 |
| 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 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".