Postoperative Pain Perception and Patient’s Satisfaction After Mandibular Third Molar Surgery by Primary Closure With Distal Wedge Surgery
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to compare periodontal conditions of the distal aspect of mandibular second molar and patient's satisfaction between standard surgical technique and primary closure with or without distal wedge surgery used for the removal of mandibular third molar impaction (MTMI). METHODS: Twenty-four patients, aged 18 - 25 years, were invited to participate in this prospective, single-blinded, split-mouth randomized controlled study. Each participant owned similar bilateral impacted mandibular third molar. Periodontal parameters (i.e. probing depth (PD), gingival index (GI), plaque index (PI) and the distance from cusp tip to gingival margin (CT-GM)) were measured. The standard mandibular third molar surgery was performed on one side while for the other side the distal wedge surgery with or without osseous contouring was added to the protocol. Information about satisfaction was taken from questionnaire. RESULTS: At the site where distal wedge was performed, significant change in CT-GM occurred at all aspects and a significant PD reduction was observed at disto-buccal and mid-distal sites. Distance between cemento-enamel junction (CEJ) and gingival margin reduced significantly at all sites. No significant difference between two groups was found in GI, PI and patient's satisfaction. CONCLUSIONS: Incorporating distal wedge surgery into MTMI removal protocol does improve periodontal health of adjacent second molar and does not affect patient's satisfaction.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".