Minimal Invasive Technique in Atrial Septal Defect Surgery
Bibliographic record
Abstract
BACKGROUND: Median sternotomy with minimal skin incision (MSWMSI) and modified anterior mini-thoracotomy (MAMT) approach that both are innovative techniques modified from previous documented techniques are important alternative to conventional median sternotomy in atrial septal defect (ASD) repair. Our aim is to explain the details of two performed techniques in our center and explain the results. METHODS: Totally 54 children with ASD (20 female and 34 male) were operated with two different techniques i.e. MAMT and MSWMSI in Imam Ali heart surgery center between May 2010 and May 2013. Intra and postoperative variables such as cardiopulmonary bypass time and aortic cross-clamp time, intensive care unit stay time, length of incision, postoperative hematoma and seroma, dehiscence mortality, exploration for postoperative bleeding, neurologic complication, infection and amount of blood transfusion were recorded. RESULTS: Mean cardiopulmonary bypass time was 30 ± 11 min, and mean aortic cross-clamp time was 7 ± 2 min. The mean amount of blood transfusion was 150 ± 39 mL, and the mean chest tube drainage after surgery was 140 ± 57 mL. Superficial skin infection occurred in three patients. Subcutaneous hematoma and seroma were founded in six patients. In 50 cases the defect was secundum type, in two patients it was sinus venosus type, and in two with associated perimembranous ventricular septal defect repair. CONCLUSION: Both approaches are safe and may be the surgical techniques of choice for secundum ASD repair in all age groups; and we can also utilize these techniques for more complicated kinds of surgery, for instance, sinus venosus type ASD with or without partial anomalous defect.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".