Evidence map›Paper›PMID 31072935›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis.

Arman Eshaghi, Rogier A Kievit, Ferran Prados, Carole H Sudre, Jennifer Nicholas, M Jorge Cardoso, Dennis Chan, Richard Nicholas, Sebastien Ourselin, John Greenwood and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 citations in OpenAlex.

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  17. Statins in Neuro-ophthalmology.Neuro-ophthalmology (Aeolus Press) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 3 countries.

Arman EshaghiQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom; a.eshaghi@ucl.ac.uk.ORCID 0000-0002-6652-3512
Rogier A KievitMax Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, United Kingdom.ORCID 0000-0003-0700-4568
Ferran PradosQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom.
Carole H SudreSchool of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.
Jennifer NicholasLondon School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.
M Jorge CardosoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.
Dennis ChanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, United Kingdom.
Richard NicholasDivision of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.
John GreenwoodUniversity College London Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom.
Alan J ThompsonQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom.
Daniel C AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, London WC1E 6BT, United Kingdom.
Frederik BarkhofQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom.
Jeremy ChatawayQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom.
Olga CiccarelliQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, United Kingdom.
Queen Mary University of London · GBKing's College London · GBUniversity College London · GBImperial College London · GBMRC Cognition and Brain Sciences Unit · GBUniversitat Oberta de Catalunya · ESUniversity of Cambridge · GBUniversity of London · GB

Funding

Department of HealthMedical Research Council MC_UP_1401/1Medical Research Council MC_UU_00005/9Medical Research Council RG91365Wellcome TrustWellcome Trust 107392/Z/15/Z
6 · The paper itself

Abstract

Understanding the mode of action of drugs is a challenge with conventional methods in clinical trials. Here, we aimed to explore whether simvastatin effects on brain atrophy and disability in secondary progressive multiple sclerosis (SPMS) are mediated by reducing cholesterol or are independent of cholesterol. We applied structural equation models to the MS-STAT trial in which 140 patients with SPMS were randomized to receive placebo or simvastatin. At baseline, after 1 and 2 years, patients underwent brain magnetic resonance imaging; their cognitive and physical disability were assessed on the block design test and Expanded Disability Status Scale (EDSS), and serum total cholesterol levels were measured. We calculated the percentage brain volume change (brain atrophy). We compared two models to select the most likely one: a cholesterol-dependent model with a cholesterol-independent model. The cholesterol-independent model was the most likely option. When we deconstructed the total treatment effect into indirect effects, which were mediated by brain atrophy, and direct effects, simvastatin had a direct effect (independent of serum cholesterol) on both the EDSS, which explained 69% of the overall treatment effect on EDSS, and brain atrophy, which, in turn, was responsible for 31% of the total treatment effect on EDSS [β = -0.037; 95% credible interval (CI) = -0.075, -0.010]. This suggests that simvastatin's beneficial effects in MS are independent of its effect on lowering peripheral cholesterol levels, implicating a role for upstream intermediate metabolites of the cholesterol synthesis pathway. Importantly, it demonstrates that computational models can elucidate the causal architecture underlying treatment effects in clinical trials of progressive MS.

Indexed as

Models, StatisticalMultiple Sclerosis, Chronic ProgressiveAdultAtrophyBrainCausalityCholesterolClinical Trials as TopicDisease ProgressionHumansMiddle AgedSimvastatinCholesterolSimvastatincausal modelingclinical trialmultiple sclerosisprogressive MSstructural equation modeling

Identifiers

PMID31072935
PMCPMC6561162
OpenAlexW2944092461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.