Evidence map›Paper›PMID 33411191›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2021

Relationships between accelerometer-measured and multiple sclerosis: a 2-sample Mendelian randomization study.

Hui Lu, Peng-Fei Wu, Rui-Zhuo Li, Wan Zhang, Guo-Xiang Huang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Hui Lu *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. erjihuixin@163.com.ORCID http://orcid.org/0000-0002-5472-2960
Peng-Fei Wu *Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Rui-Zhuo LiDepartment of Ultrasonography, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong, China.
Wan ZhangDepartment of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Guo-Xiang HuangDepartment of Neurology, Affiliated Hospital of Nantong University, Nantong, China.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundObservational studies suggest that physical activity (PA) can independently modify the risk of developing multiple sclerosis (MS).

objectiveTo investigate the causal effect of PA on MS by Mendelian randomization (MR) approaches.

methodsThrough a genome-wide association study including 91,105 participants from UK Biobank, we obtained 5 single-nucleotide polymorphisms (SNPs) associated with accelerometer-measured PA (P < 5 × 10

resultsWe failed to detect a causal effect of PA on MS (OR, 0.60; 95% confidence interval [CI], 0.30-1.20; P = 0.15) per in the random-effects IVW analysis. Additional MR methods yielded consistent results. MR-Egger regression suggested no evidence of horizontal pleiotropy (Intercept = 0.14, P = 0.21) and there seemed no substantial heterogeneity (I

conclusionOur findings suggest that enhancing PA might not modify the risk of developing MS independent of established risk factors.

Indexed as

Mendelian Randomization AnalysisMultiple SclerosisAccelerometryGenome-Wide Association StudyHumansPolymorphism, Single NucleotideGenome-wide association studiesMendelian randomizationMultiple sclerosisPhysical activitySingle-nucleotide polymorphismsUK Biobank

Identifiers

What OpenQuestion holds

Textmetadata
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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.