S M Rao, A L Martin, R Huelin, E Wissinger, Z Khankhel, E Kim, K Fahrbach
{"title":"Correlations between MRI and Information Processing Speed in MS: A Meta-Analysis.","authors":"S M Rao, A L Martin, R Huelin, E Wissinger, Z Khankhel, E Kim, K Fahrbach","doi":"10.1155/2014/975803","DOIUrl":null,"url":null,"abstract":"<p><p>Objectives. To examine relationships between conventional MRI measures and the paced auditory serial addition test (PASAT) and symbol digit modalities test (SDMT). Methods. A systematic literature review was conducted. Included studies had ≥30 multiple sclerosis (MS) patients, administered the SDMT or PASAT, and measured T2LV or brain atrophy. Meta-analysis of MRI/information processing speed (IPS) correlations, analysis of MRI/IPS significance tests to account for reporting bias, and binomial testing to detect trends when comparing correlation strengths of SDMT versus PASAT and T2LV versus atrophy were conducted. Results. The 39 studies identified frequently reported only significant correlations, suggesting reporting bias. Direct meta-analysis was only feasible for correlations between SDMT and T2LV (r = -0.45, P < 0.001) and atrophy in patients with mixed-MS subtypes (r = -0.54, P < 0.001). Familywise Holm-Bonferroni testing found that selective reporting was not the source of at least half of significant results reported. Binomial tests (P = 0.006) favored SDMT over PASAT in strength of MRI correlations. Conclusions. A moderate-to-strong correlation exists between impaired IPS and MRI in mixed MS populations. Correlations with MRI were stronger for SDMT than for PASAT. Neither heterogeneity among populations nor reporting bias appeared to be responsible for these findings. </p>","PeriodicalId":46096,"journal":{"name":"Multiple Sclerosis International","volume":"2014 ","pages":"975803"},"PeriodicalIF":2.2000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2014/975803","citationCount":"74","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple Sclerosis International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2014/975803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/3/25 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 74
Abstract
Objectives. To examine relationships between conventional MRI measures and the paced auditory serial addition test (PASAT) and symbol digit modalities test (SDMT). Methods. A systematic literature review was conducted. Included studies had ≥30 multiple sclerosis (MS) patients, administered the SDMT or PASAT, and measured T2LV or brain atrophy. Meta-analysis of MRI/information processing speed (IPS) correlations, analysis of MRI/IPS significance tests to account for reporting bias, and binomial testing to detect trends when comparing correlation strengths of SDMT versus PASAT and T2LV versus atrophy were conducted. Results. The 39 studies identified frequently reported only significant correlations, suggesting reporting bias. Direct meta-analysis was only feasible for correlations between SDMT and T2LV (r = -0.45, P < 0.001) and atrophy in patients with mixed-MS subtypes (r = -0.54, P < 0.001). Familywise Holm-Bonferroni testing found that selective reporting was not the source of at least half of significant results reported. Binomial tests (P = 0.006) favored SDMT over PASAT in strength of MRI correlations. Conclusions. A moderate-to-strong correlation exists between impaired IPS and MRI in mixed MS populations. Correlations with MRI were stronger for SDMT than for PASAT. Neither heterogeneity among populations nor reporting bias appeared to be responsible for these findings.
期刊介绍:
Multiple Sclerosis International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to all aspects of multiple sclerosis, including clinical neurology, neuroimaging, neuropathology, therapeutics, genetics, neuroimmunology, biomarkers, psychology and neurorehabilitation.