“Seeing” in NARCOMS: a look at vision-related quality of life in the NARCOMS registry
Bibliographic record
Abstract
BACKGROUND: Research on vision-related quality of life (QOL) in multiple sclerosis (MS) is still limited. Tools such as the Visual Functioning Questionnaire-25 (VFQ-25) and the Vision Performance Scale (VPS) facilitate assessments of the severity of visual impairment and its impact on daily life. OBJECTIVE: The objective of this paper is to examine vision-related QOL, comorbid eye conditions, use of visual aids and utilization of eye-care providers in the North American Research Committee on Multiple Sclerosis (NARCOMS) population, and to explore these issues in those with a history of optic neuritis (ON) and diplopia. METHODS: In 2008, NARCOMS registrants reported on their use of visual aids, the VFQ-25, VPS, history of ON, diplopia, refractive error conditions (REC) and comorbid eye diseases (CED). We conducted regression analyses and correlations between select variables. RESULTS: The response rate for the survey was 60.4%. Of the 9107 responders, 66.7% reported visual disability measured by VPS. Of respondents, 43.1% had a history of ON and 38.6% reported prior diplopia. Frequencies of myopia (51.8%), hyperopia (26.6%), and uveitis (3.4%) exceeded those expected for the general population. Mean (SD) VFQ-25 composite score was 82.0 (14.2). A history of ON or diplopia accounted for 9.7% of the variance in the VFQ-25; 90.6% of respondents used glasses or contact lenses. Rates of utilizations of eye-care providers were lower than expected. CONCLUSION: Prior ON, diplopia, REC and CED adversely impact vision-related QOL in MS. Increased utilization of eye-care providers and use of visual aids could improve vision-related QOL in people with MS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".