A minimally invasive hybrid procedure to correct pectus arcuatum
Bibliographic record
Abstract
BACKGROUND: Pectus arcuatum, also known as horns of steer anomaly or Currarino-Silverman Syndrome, is a distinct chest wall anomaly characterized by severe manubriosternal angulation, a shortened sternum, and mild pectus excavatum. The anomaly is typically repaired using open techniques, employing orthopedic fixation devices. Here, we report the results of a minimally invasive hybrid procedure to repair pectus arcuatum. METHODS: The procedure combines a standard Nuss procedure to correct the depressed sternum with a short upper chest (in boys) or inter-mammary (in girls) incision for bilateral subperichondrial resection of the upper costal cartilages, osteotomy, and correction of the manubrial angulation. The medical records of all patients who underwent the procedure over the last 10 years were reviewed. RESULTS: Five patients, 3 boys and 2 girls, aged 14 to 17 years, underwent the procedure. Three patients had their pectus bars removed 3-4 years after repair. Follow-up after correction ranged from 6 months to 7 years. Good correction resulted in all patients achieving recovery without complications and recurrence. To date, all patients have been satisfied with their results. CONCLUSIONS: The minimally invasive hybrid procedure adequately corrects pectus arcuatum with minimal scarring and high satisfaction.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".