A customized postoperative wound management model tailored to the healing dynamics of the upper lip: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Clinical observations suggest that upper lip injuries often exhibit prolonged healing and reduced healing efficacy. The unique anatomical and physiological characteristics of the lips make them particularly susceptible to infection and delayed recovery, posing significant challenges for postoperative management. The aim of this research, grounded in the anatomical and physiological subtleties of the upper lip, was to contrast the wound management outcomes between patients treated with a conventional wound management approach and those treated with a customized wound management model. Additionally, it aimed to explore the efficacy of a dynamic model in the assessment and treatment of upper lip wounds. METHOD: It is a retrospective cohort study. Patients with maxillofacial injuries who attended the Emergency Department of West China Hospital of Stomatology of Sichuan University were selected for retrospective analysis. Between February and August 2023, 89 out of 783 patients with maxillofacial injuries who had upper lip injuries formed the control group. From February to August 2024, 84 patients with upper lip injuries, selected from 643 patients with maxillofacial injuries, constituted the experimental group. The control group applied the traditional wound management method, while the experimental group implemented the customized wound management model, which involved optimizing the team, devising a wound-healing model, improving dressings, innovating in both the timing and method of dressing changes, and providing customized care for complex wounds. The outcomes of upper lip wound management between the two groups were compared, including the wound infection rate, the Vancouver Scar Scale (VSS) score 30 days after surgery, and patients' satisfaction. Data analysis was conducted using SPSS 23.0 software. RESULTS: There were no statistically significant differences in the demographic variables between the two groups (P > 0.05). The upper lip infection rates were 18% (16 out of 89) in the control group and 1.2% (1 out of 84) in the experimental group, respectively. Notably, the incidence of wound complications and wound infection rates differed significantly between the control and experimental groups, with the experimental group showing lower figures for both (P < 0.001). Compared to the control group, the experimental group had a lower VSS score and a higher patients' satisfaction score, with these differences being statistically significant (P < 0.001). CONCLUSION: The customized wound management model demonstrated superior clinical efficacy in treating upper lip injuries. Patients gain advantages from a customized postoperative wound management model designed according to the upper lip healing kinetics. By aligning postoperative care with the unique healing kinetics of the upper lip, this approach significantly reduces infection rates and enhances patient satisfaction. These findings advocate for wider adoption of this personalized wound management model in the clinical treatment of upper lip injuries. TRIAL REGISTRATION: Clinical Trial Registration No. ChiCTR2300079287, Registration Date 29 December 2023.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".