Bibliographic record
Abstract
PURPOSE OF REVIEW: Comorbid conditions, secondary conditions, and health behaviors are increasingly recognized to be important factors influencing a range of outcomes in multiple sclerosis (MS). This review discusses the most common comorbidities experienced in MS, their impact on clinical outcomes, and the impact of health behaviors. Osteoporosis is a common secondary condition in MS that will be discussed along with vitamin D insufficiency. RECENT FINDINGS: Mental comorbidity is common in MS; depression has a lifetime prevalence of 50%, while anxiety has a lifetime prevalence of 36%. Physical comorbidity is also common, with the most frequently reported conditions including hyperlipidemia, hypertension, arthritis, irritable bowel syndrome, and chronic lung disease. Fracture risk is increased among patients with MS because of an increased risk of osteoporosis and propensity for falls. Vitamin D insufficiency is common and may contribute to increased fracture risk and increased disease activity. Comorbidities and smoking are associated with diagnostic delays, increased disability progression, lower health-related quality of life, and lower adherence to treatment. SUMMARY: Physical and mental comorbidity and adverse health behaviors are common in patients with MS. Comorbidities and health behaviors are associated with adverse outcomes in MS and should be considered in the assessment and management of patients with MS.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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".