Ambulatory treatment of chronic pilonidal sinuses with lateral incision and primary suture
Bibliographic record
Abstract
BACKGROUND: Outpatient management is appropriate for chronic pilonidal sinuses. Even though there are different surgical treatments for pilonidal sinuses, the outcome may not be uniformly satisfactory. The aim of this paper was to examine the ambulatory treatment of chronic pilonidal sinuses with lateral incision and primary suture. METHODS: We present our experience with outpatient management of asymptomatic chronic pilonidal disease. We prospectively studied patients presenting with pilonidal disease from Mar. 20, 2005, to Mar. 20, 2008. All were managed as outpatients. We reviewed presentation, treatment, healing, time off work and recurrences. RESULTS: In all, 150 patients (131 men and 19 women) with chronic pilonidal sinuses underwent ambulatory plain lateral excision and primary repair during the study period. The mean age of patients was 22.1 years. The mean duration of surgery was 18.4 minutes. No general complications occurred. Local complications consisted of 3 wound infections and 4 wound hematomas. No sinus recurrence occurred. The healing rate was fast in all patients. CONCLUSION: Advantages of ambulatory plain lateral excision and primary repair include immediate treatment, minimal pain and a quick return to normal activities. This method is a simple and effective procedure in the treatment of uncomplicated pilonidal sinuses.
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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 | 0.000 | 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) | 0.003 | 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".