Evidence map›Paper›PMID 39060317›Full record

ArticleScientific reports2024

The integrity of the corticospinal tract and corpus callosum, and the risk of ALS: univariable and multivariable Mendelian randomization.

Jieying Wu, Gan Zhang, Linjing Zhang, Shan Ye, Tao Huang, Dongsheng Fan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jieying WuDepartment of Neurology, Peking University Third Hospital, Beijing, 100191, China.
Gan ZhangDepartment of Neurology, Peking University Third Hospital, Beijing, 100191, China.
Linjing ZhangDepartment of Neurology, Peking University Third Hospital, Beijing, 100191, China.
Shan YeDepartment of Neurology, Peking University Third Hospital, Beijing, 100191, China.
Tao Huang *Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. huangtao@bjmu.edu.cn.
Dongsheng Fan *Department of Neurology, Peking University Third Hospital, Beijing, 100191, China. dsfan2010@aliyun.com.

Funding

Clinical Cohort Construction Program of Peking University Third Hospital BYSYDL2019002National Natural Science Foundation of China 81873784
6 · The paper itself

Abstract

Studies suggest that amyotrophic lateral sclerosis (ALS) compromises the integrity of white matter fiber tracts, primarily affecting motor fibers. However, it remains uncertain whether the integrity of these fibers influences the risk of ALS. We performed bidirectional two-sample Mendelian randomization (MR) and multivariable MR analyses to evaluate the associative relationships between the integrity of fiber tracts [including the corticospinal tract (CST) and corpus callosum (CC)] and the risk of ALS. Genetic instrumental variables for specific fiber tracts were obtained from published genome-wide association studies (GWASs), including 33,292 European individuals from five diffusion magnetic resonance imaging (dMRI) datasets. Summary-level GWAS data for ALS were derived from 27,205 ALS patients and 110,881 controls. The MR results suggested that an increase in the first principal component (PC1) of fractional anisotropy (FA) in the genu of the CC (GCC) was correlated with an increased risk of ALS (P

Indexed as

Amyotrophic Lateral SclerosisCorpus CallosumGenome-Wide Association StudyMendelian Randomization AnalysisPyramidal TractsAnisotropyDiffusion Magnetic Resonance ImagingFemaleGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideRisk FactorsWhite Matter

Identifiers

PMID39060317
PMCPMC11282093

What OpenQuestion holds

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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.