Brain and Behavior (Jun 2023)

Instruments measuring change in cognitive function in multiple sclerosis: A systematic review

  • Chigozie Ezegbe,
  • Amin Zarghami,
  • Ingrid van derMei,
  • Jane Alty,
  • Cynthia Honan,
  • Bruce Taylor

DOI
https://doi.org/10.1002/brb3.3009
Journal volume & issue
Vol. 13, no. 6
pp. n/a – n/a

Abstract

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Abstract Background Multiple sclerosis (MS) is a chronic demyelinating/neurodegenerative disease associated with change in cognitive function (CF) over time. This systematic review aims to describe the instruments used to measure change in CF over time in people with MS (PwMS). Methods PubMed, OVID, Web of Science, and Scopus databases were searched in English until May 2021. Articles were included if they had at least 100 participants and at least a 1‐year interval between baseline and last follow‐up measurement of CF. Results were quantitatively synthesized, presented in tables and risk of bias was assessed with the Newcastle–Ottawa Scale. Results Fifty‐seven articles met the inclusion criteria (41,623 PwMS and 1105 controls). An intervention (drug/rehabilitation) was assessed in 22 articles. In the studies that used a test battery, Visual and verbal learning and memory were the most frequently measured domains, but when studies that used test battery or a single test are combined, Information processing speed was the most measured. The Symbol Digit Modalities Test (SDMT) was the most frequently used test as a single test and in a test battery combined. Most studied assessed “change in CF” as cognitive decline defined as 1 or more tests measured as ≥ 1.5 SD from the study control or normative mean in a test battery at baseline and follow‐up. Meta‐analysis of change in SDMT scores with seven articles indicated a nonstatistically significant –0.03 (95% CI –0.14, 0.09) decrease in mean SDMT score per year. Conclusion This study highlights the slow rate of measured change in cognition in PwMS and emphasizes the lack of a gold standard test and consistency in measuring cognitive change at the population level. More sensitive testing utilizing multiple domains and longer follow‐up may define subgroups where CF change follows different trajectories thus allowing targeted interventions to directly support those where CF is at greatest risk of becoming a clinically meaningful issue

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