SURGICAL MANAGEMENT OF GENERALIZED GINGIVAL ENLARGEMENT – A CASE SERIES
Bibliographic record
Abstract
Introduction: Generalized gingival enlargement is characterized by massive and exuberant gingival over-growth that poses social, aesthetic, phonetic and functional problems for the patient. Therefore, it requires meticulous management.Objective: To describe the surgical management of generalized gingival enlargement by electrosurgical excision of patients presenting to a tertiary care centre.Study Design: Case series.Materials and Methods: The study was conducted at the Department of Oral and Maxillofacial Surgery, de’Montmorency College of Dentistry, Lahore, from January 2010 to December 2012. A total of sixteen patients were operated by using electrosurgical approach under general anaesthesia for surgical excision of generalized gingival enlargement.Results: All of the sixteen patients, 11 males and 5 females, showed excellent healing postoperativelywithout any recurrent gingival overgrowth.Discussion: To the best of our knowledge, the current study presents the largest case series of generalized gingival enlargement. Most of these cases were with massive disease due to lack of information of the study population about their disease, delay in referral by the general dental practitioners, painless and innocent nature of the problem. Early referral of such patients to tertiary care centers can prevent the patients from social and psychological embarrassment.Conclusion: Electrosurgical excision is an excellent surgical technique for management of generalized gingival enlargement. Moreover, cross comparative studies are required to establish some diagnostic and therapeutic standards for such patients.
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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 | 0.002 | 0.000 |
| 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) | 0.002 | 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".