Complex treatment for dry eye disease in intermediate uveitis
Bibliographic record
Abstract
Aim: to study clinical presentations of dry eye disease (DED) in intermediate uveitis (pars planitis) and develop a complex treatment algorithm including tear substitutes, reparative, and anti-inflammatory therapies combined with laser photocoagulation. Patients and Methods: the study enrolled 98 patients divided into the study group (n=78) and the comparison group (n=20). Study group patients received complex treatment, including tear substitutes, anti-inflammatory therapies, and laser photocoagulation. Comparison group patients received topical medications only. All patients underwent a complex examination including the OSDI questionnaire, visual acuity, IOP measurements, slit lamp examination, binocular dilated fundus examination with scleral indentation, and Schirmer’s test 1 at baseline, after baseline three and six months. Treatment efficacy was assessed based on the severity of intermediate uveitis presentations. Results: intermediate uveitis exacerbates DED. The more active chorioretinal inflammation near the ora serrata is, the more severe clinical, functional changes of the ocular surface are. Complex treatment significantly improved typical DED complaints by the OSDI score (by 34.8%), ocular surface by slit-lamp examination (lower occurrence of conjunctival fold overhang, by 51.8%), mild eyelid and conjunctival hyperemia, and conjunctival discharge. Six months after treatment, a 2-fold (vs. baseline) increase in total tear secretion and resorption of vitreous exudates and retinal edema were reported in the study group. Changes in all parameters in the study group were more significant than in the comparison group. Conclusion: complex treatment algorithm (tear substitutes, reparative, and anti-inflammatory therapies combined with laser photocoagulation) provides a more rapid and stable reduction in chorioretinal inflammation near the ora serrata. It significantly improves subjective and objective DED signs compared to conventional pharmacotherapy. Keywords: dry eye disease, intermediate uveitis, laser photocoagulation, ora serrata. For citation: Tatarnikova E.B., Krivosheina O.I. Complex treatment for dry eye disease in intermediate uveitis. Russian Journal of Clinical Ophthalmology. 2022;22(1):30–35 (in Russ.). DOI: 10.32364/2311-7729-2022-22-1-30-35.
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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) | 0.001 | 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".