Dorsal Decubitus Positioning
Bibliographic record
Abstract
The latissimus dorsi, whether taken as a muscle or with a skin paddle, is one of the most useful flaps in the reconstructive surgeon's arsenal. With its predictable type V vascular pedicle, this broad muscle can be elevated on its dominant thoracodorsal pedicle or used in a reverse manner on its secondary thoracic and lumbar perforators. Traditionally harvested in a lateral decubitus position, over the last 10 years we have chosen to elevate this muscle in a dorsal decubitus position, enabling 2 surgical teams to operate simultaneously. With only one cushion placed along the vertebral column between the scapulas, each element of the subscapular system, including scapular bone, can be used to reconstruct complex upper limb defects. A vertical incision in front of the anterior axillary line is performed to identify the anterior border of the muscle, followed by a dissection in the submuscular plane to reveal the thoracodorsal pedicle and its branches. When a more complex chimeric flap is required, scapular bone, serratus muscle, and scapular or parascapular fasciocutaneous flaps are all available. To achieve the longest length possible, the pedicle can be isolated from the axillary vessels. The most common complications are related to donor site, with seroma and delayed wound healing being the most prevalent. Complaints of shoulder pain and functional disability were rare and mostly encountered in the first 2 weeks postoperatively.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.021 |
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".