Overview of Differences and Similarities of Published Mixed Treatment Comparisons on Pharmaceutical Interventions for Multiple Sclerosis.
Maria Pia SormaniRobert WolffShona Helen LangSteven DuffyRobert HydeElizabeth KinterCraig WakefordGavin GiovannoniJos M P KleijnenPublished in: Neurology and therapy (2020)
Given the importance of MTCs for healthcare decision-making, it is imperative that reporting of methods, results and assumptions is clear and transparent to allow accurate interpretation of findings. For MTCs to be relevant, the choice of outcome measures should reflect clinical practice. Combination of treatments or of outcomes measured at different points of time should be avoided, as should imputation without justification. Furthermore, all approved treatment options should be included and updates of MTCs should be conducted when data for new treatments are published.
Keyphrases
- multiple sclerosis
- decision making
- healthcare
- clinical practice
- electronic health record
- high resolution
- meta analyses
- systematic review
- randomized controlled trial
- white matter
- big data
- combination therapy
- machine learning
- metabolic syndrome
- social media
- deep learning
- mass spectrometry
- insulin resistance
- affordable care act