Stress as a Risk Factor for Multiple Sclerosis Onset or Relapse: A Systematic Review
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Stress has been considered a triggering factor for multiple sclerosis (MS) since the description of the disease by Jean-Martin Charcot. Until our times, many published studies have supported that both MS onset and relapse could be predisposed by psychological stress. This review aims to synthesize existing knowledge of the relationship between psychological stress and MS onset and relapse, focusing mainly on the quality of observational studies. METHODS: We hand-searched MEDLINE with the terms 'stress and multiple sclerosis', using English language restrictions, from January 1980 to November 2010. We included only observational longitudinal studies. The Newcastle-Ottawa scale proposed by the Cochrane Collaboration was used for assessing the quality of the observational studies. RESULTS: Seventeen publications were analyzed, 5 for MS onset (1 cohort and 4 case-control studies) and 12 for MS relapse (9 cohort and 3 case-control studies). We found a marked heterogeneity in stress measurement that mostly targeted the environmental approach to stress. Only 2 publications used radiological criteria for MS relapse. Quality issues were identified mainly for comparability, meaning that studies failed to control adequately for various triggering and psychosocial factors in the stress-MS relationship. Also, selection and blinding problems were identified in most case-control studies. All studies, with only 2 exceptions, resulted in favor of the stress-MS relationship, but due to marked stress measurement heterogeneity, no secure conclusions could be drawn. CONCLUSIONS: Future studies should incorporate a multidisciplinary approach to stress measurement and radiological criteria for MS. We further encourage researchers to test the effect of early life stress and stress management techniques on the clinical course of the disease.
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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 | 0.003 | 0.228 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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