Impact of initial topical medical therapy on short-term quality of life in newly diagnosed patients with primary glaucoma
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Bibliographic record
Abstract
PURPOSE: To evaluate the impact of initial topical medical therapy on newly diagnosed glaucoma patients using the Indian Vision Function Questionnaire (IND-VFQ33). PATIENTS AND METHODS: The IND-VFQ33 was used to evaluate the quality of life (QoL) in 62 newly diagnosed patients with moderate to severe primary glaucoma and 60 healthy controls. IND-VFQ33 is a 33 item QoL assessment tool with three domains: General functioning, psychosocial impact and visual symptoms. The glaucoma patients were started on medical therapy and the QoL assessment was repeated after 3 months. RESULTS: Glaucoma patients (mean age: 55.6 ± 9.6 years, range 40-77 years) and controls (mean age: 54.9 ± 6.7 years, 42-73 years) were matched with respect to age (P = 0.72), gender (P = 0.91) and literacy (P = 0.18). Glaucoma patients had significantly worse QoL as compared to controls at baseline across all the three domains (P < 0.001). 3 months after initiation of treatment, the overall QoL life significantly worsened from baseline with a decrease in general functioning (P < 0.001) and psychosocial impact (P = 0.041). Visual acuity in better eye significantly co-related to poor QoL at baseline (P < 0.001) and at 3 months (P = 0.04). In addition, the use of >2 topical medications significantly co-related to poor QoL at 3 months (P = 0.01). CONCLUSIONS: Evaluation using the IND-VFQ33 revealed that newly diagnosed glaucoma patients have a significant worsening of QoL after initiation of topical ocular hypotensive therapy. This should be an important consideration when educating patients about the disease and its therapy.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it