Клинико-функциональные результаты глубокой склерэктомии с имплантацией ксеноколлагенового дренажа у больных с неоваскулярной глаукомой
Bibliographic record
Abstract
PURPOSE: The analysis of the results of deep sclerectomy with xenocollagen drainage implantation in patients with neovascular glaucoma during dynamic observation process. METHODS: The study included 80 patients (80 eyes) with neovascular glaucoma. All patients were divided into two groups depending on the surgical technique: group I (main group) included 40 patients after a deep sclerectomy with xenocollagen drainage implantation (DSE with XDI), group II (control group) - 40 patients after standard deep sclerectomy. All patients underwent a standard eye examination including visometry, perimetry, tonometry, tonography, biomicroscopy, gonioscopy, ophthalmoscopy, A-, B- scan («А/В 3D-OTI Scan 2000», Canada), ultrasound biomicroscopy («Paradigm Model P60™ UBM», USA). RESULTS: There was a significant difference in the persistence of post-operative hypotensive effect in the two studied groups. IOP decompensation rate in the control group exceed that in the study group (15 vs 3%, respectively) in long-term follow-up. Statistically significant positive changes in the visual functions were noted in the main group within 1 month after surgery, which remained stable during the 12 months of the observation period. The scarring of the filtration area was the main cause of glaucoma relapse in patients of the control group. CONCLUSION: According to the observation data, there was a statistically significant improvement in clinical and functional indicators in patients of the main group, which remained stable during late postoperative period, as compared to the control group. Using the modified operation technique with xenocollagen drainage implantation in the treatment of neovascular glaucoma promotes the stabilization of the clinical and functional results.
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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 | 0.001 | 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".