[Application of Zunyi's Suture Method for donor site of anterolateral thigh flap].
Bibliographic record
Abstract
OBJECTIVE: return needle horizontal mattress suture combination with intradermal intermittent continuous suture (denominated as Zunyi's Suture Method) on suturing the donor site of the anterolateral thigh flap. METHODS: Between January 2019 and December 2019, 62 patients were treated with anterolateral thigh flaps to repair wounds. There were 46 males and 16 females, aged 9-67 years (mean, 31 years). The size of anterolateral thigh flap ranged from 6 cm×5 cm to 25 cm×7 cm. The donor site of the flap was sutured directly by the Zunyi's Suture Method. The skin on both sides of the incision was advanced to the middle, and the wound edge was attached and in a state of negative tension. The intradermal suture line was removed at 7 days after operation. The complications and scars at donor site were observed during follow-up. The Vancouver Scar Scale was used to assess the appearance of scars and the width of scars were measured at 6 months after operation. RESULTS: The flaps survived smoothly, and the wounds healed by first intention. The incisions at donor sites healed by first intention at 2 to 3 weeks after operation. All patients were followed up 7-16 months, with an average of 10.7 months. There was no ischemic necrosis of the donor site or skin threading. There was pigmentation of the needle back point in the early stage, and the pigmentation completely disappeared after 3 to 6 months without scar hyperplasia. At 6 months after operation, liner scars were achieved in all the patients with an average Vancouver Scar Scale score of 2.5 (range, 1.0-3.5) and an average width of 2.4 mm (range, 0.8-9.1 mm). CONCLUSION: The suture of the donor site of the anterolateral thigh flap with Zunyi's Suture Method can effectively reduce the tension on wound edges and scar hyperplasia.
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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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".