The clinical and radiographic outcomes of Schneiderian membrane perforation without repair in sinus elevation surgery
Bibliographic record
Abstract
BACKGROUND: The aim of this comparative study was to evaluate the clinical outcome of nonrepair of the perforated maxillary sinus membrane compared to the nonperforated cases. MATERIALS AND METHODS: A retrospective comparative study was performed by identifying all lateral window sinus augmentation procedures, which were done during a defined period. Demographic data, systemic diseases, and smoking habits of patients were recorded. Thickness of the Schneiderian membrane and the amount of residual bone before surgery were measured by cone-beam computed tomography (CBCT). In case of perforation, no attempt was made to repair the membrane. Alloplast was used for bone augmentation. The thickness of the Schneiderian membrane and gained bone height were recorded using CBCT at the time of prosthesis delivery. RESULTS: Sixty-three patients with 65 sinuses were included in this retrospective study. The rate of sinus perforation was 39%. There was a significant association between the presence of sinus pathoses before surgery and the occurrence of Schneiderian membrane perforation (P = 0.03). The Schneiderian membrane was significantly thicker in patients with perforation compared to the patients without perforation (P < 0.001). There was no correlation between the size of the perforation and the thickness of the Schneiderian membrane. Most of the perforations (83%) occurred at the mesial and middle part of the lateral window. The Schneiderian membrane thickness was decreased significantly in both groups after the sinus elevation procedure (P < 0.05). The bone graft height was stable over the follow-up period in both groups (P > 0.05). There was no implant failure in any of the groups. CONCLUSIONS: Nonrepair of the Schneiderian membrane perforation did not adversely affect the clinical and radiographical outcomes. There were higher intraoperative and postoperative complications in the nonrepair group.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".