ABSORBABLE INTRADERMAL CLOSURE OF ELECTIVE CRANIOTOMY WOUNDS
Bibliographic record
Abstract
OBJECTIVE: More and more commonly, craniotomies are being performed with minimal hair shaving to improve cosmesis and facilitate return to a normal life. In such patients, traditional sutures or metal staples are used for scalp closure. This practice requires suture removal, often perceived as a cause of discomfort by the patient. We investigate the safety and efficacy of intradermal sutures in a large, consecutive series of patients undergoing elective craniotomy. METHODS: Wound healing complications were investigated in a consecutive series of 208 patients who underwent elective craniotomy during a 2-year period. In all patients, minimal shaving, performed by shaving a small strip of hair along the planned wound, was used. Scalp closure was achieved with only absorbable intradermal running sutures. All wounds were covered with sterile adhesive strips, which were kept in place for 24 hours postoperatively. Patients were followed for a mean follow-up period of 10.6 months (range, 1-23 mo). RESULTS: All patients except two had satisfactory wound healing. One patient (0.48%) developed cerebrospinal fluid leakage, which responded to bed rest and lumbar drainage. Another patient (0.48%) had a superficial skin infection, which was successfully treated with topical wound care and oral antibiotics. CONCLUSION: The closure method described is safe and effective. The absence of visible sutures in the postoperative course reinforces the cosmetic advantage of no shaving and decreases discomfort associated with the removal of sutures or staples.
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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 | 0.001 | 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) | 0.001 | 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".