The effect of disease modifying therapies on brain atrophy in patients with relapsing-remitting multiple sclerosis: a systematic review and meta-analysis
Language English Country United States Media electronic-ecollection
Document type Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't, Systematic Review
PubMed
25756363
PubMed Central
PMC4355592
DOI
10.1371/journal.pone.0116511
PII: PONE-D-14-45228
Knihovny.cz E-resources
- MeSH
- Atrophy prevention & control MeSH
- Humans MeSH
- Brain pathology MeSH
- Neuroprotective Agents therapeutic use MeSH
- Randomized Controlled Trials as Topic MeSH
- Multiple Sclerosis, Relapsing-Remitting drug therapy pathology MeSH
- Treatment Outcome MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Meta-Analysis MeSH
- Research Support, Non-U.S. Gov't MeSH
- Systematic Review MeSH
- Names of Substances
- Neuroprotective Agents MeSH
BACKGROUND: The aim of the present meta-analysis was to evaluate the effect of disease-modifying drugs (DMD) on brain atrophy in patients with relapsing-remitting multiple sclerosis (RRMS) using available randomized-controlled trial (RCT) data. METHODS: We conducted a systematic review and meta-analysis according to PRISMA guidelines of all available RCTs of patients with RRMS that reported data on brain volume measurements during the study period. RESULTS: We identified 4 eligible studies, including a total of 1819 RRMS patients (71% women, mean age 36.5 years, mean baseline EDSS-score: 2.4). The mean percentage change in brain volume was found to be significantly lower in DMD versus placebo subgroup (standardized mean difference: -0.19; 95%CI: -0.27--0.11; p<0.001). We detected no evidence of heterogeneity between estimates (I2 = 30%, p = 0.19) nor publication bias in the Funnel plots. Sensitivity analyses stratifying studies according to brain atrophy neuroimaging protocol disclosed no evidence of heterogeneity (p = 0.16). In meta-regression analyses, the percentage change in brain volume was found to be inversely related with duration of observation period in both DMD (meta-regression slope = -0.03; 95% CI: -0.04--0.02; p<0.001) and placebo subgroups (meta-regression slope = -0.05; 95% CI: -0.06--0.04; p<0.001). However, the rate of percentage brain volume loss over time was greater in placebo than in DMD subgroup (p = 0.017, ANCOVA). CONCLUSIONS: DMD appear to be effective in attenuating brain atrophy in comparison to placebo and their benefit in delaying the rate of brain volume loss increases linearly with longer treatment duration.
1st Department of Neurology Eginition Hospital School of Medicine University of Athens Athens Greece
2nd Department of Neurology Attikon Hospital School of Medicine University of Athens Athens Greece
Department of Neurology University Hospital of Larissa University of Thessaly Larissa Greece
See more in PubMed
Filippi M, Rocca MA (2010) MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy. AJNR Am J Neuroradiol 31:1171–1177. 10.3174/ajnr.A1944 PubMed DOI PMC
Giorgio A, De Stefano N (2010) Cognition in multiple sclerosis: relevance of lesions, brain atrophy and proton MR spectroscopy. Neurol Sci 31:S245–8. 10.1007/s10072-010-0370-x PubMed DOI
Benedict RH, Carone DA, Bakshi R. Correlating brain atrophy with cognitive dysfunction, mood disturbances, and personality disorder in multiple sclerosis (2004) J Neuroimaging 14 (3 Suppl):36S–45S. PubMed
Chard DT, Griffin CM, Parker GJ, Kapoor R, Thompson AJ, et al. (2002) Brain atrophy in clinically early relapsing-remitting multiple sclerosis. Brain 125:327–337 PubMed
De Stefano N, Giorgio A, Battaglini M, Rovaris M, Sormani MP, et al. (2010) Assessing brain atrophy rates in a large population of untreated multiple sclerosis subtypes. Neurology 74:1868–1876. 10.1212/WNL.0b013e3181e24136 PubMed DOI
Sormani MP, Arnold DL, De Stefano N (2014) Treatment effect on brain atrophy correlates with treatment effect on disability in multiple sclerosis. Ann Neurol 75:43–9. 10.1002/ana.24018 PubMed DOI
De Stefano N, Sormani MP, Stubinski B, Blevins G, Drulovic JS, et al. (2012) Efficacy and safety of subcutaneous interferon β-1a in relapsing-remitting multiple sclerosis: further outcomes from the IMPROVE study. J Neurol Sci 312:97–101. 10.1016/j.jns.2011.08.013 PubMed DOI
Kappos L, Radue EW, O’Connor P, Polman C, Hohlfeld R, et al. (2010) A placebo-controlled trial of oral fingolimod in relapsing multiple sclerosis. N Engl J Med 362:387–401. 10.1056/NEJMoa0909494 PubMed DOI
Rovaris M, Comi G, Rocca MA, Wolinsky JS, Filippi M, et al. (2001) Short-term brain volume change in relapsing-remitting multiple sclerosis: effect of glatiramer acetate and implications. Brain 124:1803–12. PubMed
Rudick RA, Fisher E, Lee JC, Simon J, Jacobs L (1999) Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Multiple Sclerosis Collaborative Research Group. Neurology 53:1698–704. PubMed
Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, et al. (2009) The prisma statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. J Clin Epidemiol 62:e1–34 10.1016/j.jclinepi.2009.06.006 PubMed DOI
Higgins JP, Altman DG, Gotzsche PC, Jüni P, Moher D, et al. (2011) The cochrane collaboration’s tool for assessing risk of bias in randomised trials. BMJ 343:d5928 10.1136/bmj.d5928 PubMed DOI PMC
Cohen J (1988) Statistical Power Analysis for the Behavioral Sciences. Hillsdale, New Jersey: Lawrence Erlbaum Associates: Routledge.
Deeks JJ, Higgins JP, Altman DG. Chapter 9: Analysing data and undertaking meta-analyses. Cochrane Handbook for Systematic Reviews of Interventions website.http://handbook.cochrane.org/chapter_9/9_analysing_data_and_undertaking_meta_analyses.htm. Updated March 2011. Accessed February 4th, 2014.
Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, et al. (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 343:d4002 10.1136/bmj.d4002 PubMed DOI
Fisher E, Cothren RM, Tkach JA, Masaryk TJ, Cornhill JF (1997) Knowledge-based 3D segmentation of MR images for quantitative MS lesion tracking. SPIE Med Imag 3034:599–610.
Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, et al. (2002) Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 17:479–89. PubMed
Bero LA (2013) Why the Cochrane risk of bias tool should include funding source as a standard item [editorial]. Cochrane Database of Systematic Reviews (12):ED000075 PubMed PMC
Zivadinov R, Stosic M, Cox JL, Ramasamy DP, Dwyer MG (2008) The place of conventional MRI and newly emerging MRI techniques in monitoring different aspects of treatment outcome. J Neurol 255 (Suppl 1):61–74 10.1007/s00415-008-1009-1 PubMed DOI
Grassiot B, Desgranges B, Eustache F, Defer G (2009) Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review. J Neurol 256:1397–412. 10.1007/s00415-009-5108-4 PubMed DOI
Bermel RA, Bakshi R (2006) The measurement and clinical relevance of brain atrophy in multiple sclerosis. Lancet Neurol 5:158–170. PubMed
Barkhof F, Calabresi PA, Miller DH, Reingold SC (2009) Imaging outcomes for neuroprotection and repair in multiple sclerosis trials. Nat Rev Neurol 5:256–266. 10.1038/nrneurol.2009.41 PubMed DOI
De Stefano N, Airas L, Grigoriadis N, Mattle HP, O’Riordan J, et al. (2014) Clinical relevance of brain volume measures in multiple sclerosis. CNS Drugs 28:147–56. 10.1007/s40263-014-0140-z PubMed DOI
Arnold DL, De Stefano N (2013) Preventing brain atrophy should be the gold standard of effective therapy in multiple sclerosis (after the first year of treatment): Commentary. Mult Scler 19:1007–8. 10.1177/1352458513490550 PubMed DOI
Rudick RA, Fisher E (2013) Preventing brain atrophy should be the gold standard of effective therapy in MS (after the first year of treatment): Yes. Mult Scler 19:1003–4. 10.1177/1352458513482385 PubMed DOI
Zivadinov R, Reder AT, Filippi M, Minagar A, Stüve O, et al. (2008) Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis. Neurology 71:136–44. 10.1212/01.wnl.0000316810.01120.05 PubMed DOI
Khoury S, Bakshi R (2010) Cerebral pseudoatrophy or real atrophy after therapy in multiple sclerosis. Ann Neurol 68:778–9. 10.1002/ana.22254 PubMed DOI
Kuhlmann T, Lingfeld G, Bitsch A, Schuchardt J, Brück W (2002) Acute axonal damage in multiple sclerosis is most extensive in early disease stages and decreases over time. Brain 125:2202–2212. PubMed
Filippi M, Rovaris M, Inglese M, Barkhof F, De Stefano N, et al. (2004) Interferon beta-1a for brain tissue loss in patients at presentation with syndromes suggestive of multiple sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet 364:1489–1496. PubMed
Comi G, Martinelli V, Rodegher M, Moiola L, Leocani L, et al. (2013) Effects of early treatment with glatiramer acetate in patients with clinically isolated syndrome. Mult Scler 19:1074–1083. 10.1177/1352458512469695 PubMed DOI
Petzold A, Mondria T, Kuhle J, Rocca MA, Cornelissen J, et al. (2010) Evidence for acute neurotoxicity after chemotherapy. Ann Neurol 68: 806–815. 10.1002/ana.22169 PubMed DOI