Interventions for Aortic Coarctation
Bibliographic record
Abstract
The standard treatment of coarctation of the aorta is surgical. In the last 2 decades, however, treatment by catheter intervention has become more widespread, using either balloon angioplasty or primary stent implantation. Balloon angioplasty was originally used for recurrent coarctation after surgical repair but has now been shown equally effective for unoperated coarctation. The procedure produces a satisfactory gradient reduction in approximately 80% of patients, with transverse arch hypoplasia the main predictor of poorer outcome. Rates of restenosis and aneurysm formation are less than 10%. Primary stent implantation has been suggested as an option potentially superior to angioplasty alone. Stent implantation limits elastic recoil and potentially reduces aneurysm formation by reducing the amount of balloon stretch required. The incidence of suboptimal gradient reduction is low, probably 5% or less, as is the rate of restenosis. Aneurysm formation, vascular complications, and stent migration also occur in less than 5%. Catheter interventions are now an established treatment strategy for coarctation, with a good success rate and safety profile. The outcome for native and recurrent coarctation appears similar. The authors believe that for most adult patients with coarctation of the aorta, catheter intervention should be offered as initial therapy.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".