Skeletonization Technique in Coronary Artery Bypass Graft Surgery Reduces the Postoperative Pain Intensity and Disability Index
Bibliographic record
Abstract
BACKGROUND AND AIM: Benefits of the skeletonized internal thoracic artery (ITA) include increased graft flow, increased graft length, and reduced incidence of sternal complications. We conducted a randomized, double-blinded comparison of skeletonized versus pedicled ITA to assess the differences in pain intensity and extent of disability between the two types of harvesting procedures at one and three months follow-up. METHODS: A total of 50 patients were included in our study. Twenty-five patients had undergone skeletonized grafting while the other half had undergone pedicled grafting. The patients were evaluated for their pain at one and three months postoperatively. Extent of disability was measured via Pain Disability Index and intensity of pain was measured via Visual Analogue Scale (VAS). The patients were also questioned about the details of their pain using Short Form McGill Pain Questionnaire. RESULTS: In the first month, the mean pain intensity measured through VAS was 30.4 ± 4.0 and 55.0 ± 5.7 mm in skeletonized and pedicle group, respectively. The pedicled group had significantly higher scores measured by all three scales at both one- and three-month intervals (p-values < 0.0001). CONCLUSIONS: Our results indicate that skeletonization of ITA significantly reduces postcoronary artery bypass graft surgery pain at both one- and three-month intervals. Long-term clinical trials involving larger sample sizes should be conducted to fully confirm the benefits of the skeletonization technique.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".