Effects of Local Application of Platelet Rich Fibrin on Postoperative Sequelae after Surgical Removal of Impacted Lower Third Molars.
Bibliographic record
Abstract
Objectives: The goal of this research was to evaluate the effects of Platelet Rich Fibrin (PRF) in reducing post-surgical complications as pain, swelling, and trismus after surgical extraction of impacted lower third molars. Methods: A total of 44 patients who fulfilled the inclusion criteria were chosen to take part in this research. Postoperative pain was assessed using a numerical rating scale (NRS). Facial swelling was measured by a modification of tape measure method. To assess trismus, the maximal interincisal mouth opening was measured by using a digital caliper scale (electronic vernier). Results: In the Platelet Rich Fibrin PRF group; the results showed a significant difference of levels of pain experienced (NRS) in the 1st postoperative day in comparison to the control group. In regard to post-operative swelling; a significant decrease in the 3rd postoperative day was observed in comparison to the control group. With regard to trismus; no significant differences between groups regarding interincisal mouth opening was noticed. Conclusions: The application of PRF reduces the severity of the immediate postoperative sequelaes.
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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 | 0.000 |
| 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 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".