Adverse psychiatric effects of disease-modifying therapies in multiple Sclerosis: A systematic review
Bibliographic record
Abstract
BACKGROUND: Psychiatric comorbidity is prevalent in persons with multiple sclerosis (MS). Few studies have assessed whether second-generation disease-modifying therapies (DMT) are associated with adverse psychiatric effects. OBJECTIVE: We aimed to systematically review the literature regarding the APEs associated with natalizumab, fingolimod, dimethyl fumarate, teriflunomide and alemtuzumab in MS. As a secondary objective, we evaluated changes in anxiety or depression scores following treatment with the aforementioned DMTs. METHODS: We searched MEDLINE, EMBASE, International Pharmaceutical Abstracts, PsychINFO, Central Register of Controlled Trials & Cochrane database of systematic reviews for published studies, and clinicaltrials.gov and regulatory documents from the US and Canada for unpublished studies. Data sources were searched from inception to September 2017. Studies reporting adverse psychiatric effects involving any DMT of interest were included. We report the incidence proportions of the adverse psychiatric effects and, where applicable, risk differences between DMT-exposed and unexposed individuals along with the corresponding 95% confidence intervals. We calculated the standardized mean differences (SMD) of changes in anxiety and depression scores if reported as study outcomes, and pooled the data using random effects meta-analysis. RESULTS: Of 4389 abstracts screened, 78 met the inclusion criteria, including 48 clinical trials, 28 observational studies and 2 case reports. Depression was the most commonly reported adverse psychiatric effect. Incidence proportions for all adverse psychiatric effects ranged from 0 to 24.7%. None of the DMT studied were associated with a statistically significant increased risk of any adverse psychiatric effect (range of risk difference: -7.69% [95%CI: -16.06%, 5.56%] to 6.67 [-8.56, 15.59]). Eighteen studies examined changes in depression or anxiety following fingolimod, natalizumab or dimethyl fumarate treatment; depression symptoms improved in fingolimod-treated groups (SMD [95%CI]: 1.18 [0.17, 2.19]). We did not identify studies examining changes in these outcomes following treatment with any of the other DMTs. CONCLUSION: The DMTs reviewed were not associated with an increased risk of adverse psychiatric effect in MS, and some may reduce the incidence of depressive symptoms. This may reflect either a positive direct effect (e.g. immune modulation) or an indirect effect arising due to a positive impact on disease activity or course.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".