Evidence map›Paper›PMID 40584177›Full record

SynthesisFrontiers in aging neuroscience2025

Environmental risk factors, protective factors, and biomarkers for amyotrophic lateral sclerosis: an umbrella review.

Qian Wu, Junyi Yang, Yuanjie Duan, Yumei Ma, Yue Zhang, Shutong Tan, Jinke Wang, Yaxin Wang, Binhui Liu, Jian Zhang and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Qian Wu *Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Junyi Yang *Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yuanjie Duan *Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yumei MaDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yue ZhangDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Shutong TanDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Jinke WangDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yaxin WangDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Binhui LiuDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Jian ZhangKey Laboratory of Cell Biology, Department of Cell Biology, National Health Commission of the People's Republic of China, China Medical University, Shenyang, Liaoning, China.
Xu LiuDepartment of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the rapid loss of motor neurons. Given the significant global economic impact of ALS, effective preventive measures are urgently needed to reduce the incidence of this devastating disease. Recent meta-analyses have explored potential links between environmental factors, biomarkers, and ALS occurrence. However, the findings of these studies have been inconsistent and controversial. Therefore, we present a comprehensive umbrella review of recent meta-analyses to systematically summarize the available epidemiological evidence and evaluate its credibility. Methods: A systematic search was conducted in PubMed and Embase from inception until 01 October 2024, to identify meta-analyses of observational studies examining associations between environmental risk factors, protective factors, biomarkers, and ALS susceptibility. For each meta-analysis, summary effect estimates, 95% confidence intervals (CIs), 95% prediction intervals, study heterogeneity, small study effects, and excess significance biases were calculated independently by two investigators. The methodological quality was evaluated using the AMSTAR 2 criteria. The strength of the epidemiological evidence was categorized into five levels based on predefined criteria. Results: Out of 1,902 articles identified, 43 met the inclusion criteria, resulting in 103 included meta-analyses. These analyses covered 46 environmental risk and protective factors (344,597 cases, 71,415,574 population) and 57 cerebrospinal fluid (CSF) and serum biomarkers (30,941 cases, 2,180,797 population). The evidence was classified as convincing (Class I) for the regular use of antihypertensive drugs (OR: 0.85, 95% CI: 0.81-0.88) and highly suggestive (Class II) for premorbid body mass index (OR: 0.97, 95% CI: 0.95 to 0.98), trauma (OR: 1.51, 95% CI: 1.32 to 1.73), CSF NFL levels (SMD: 2.06, 95% CI: 1.61 to 2.51), serum NFL levels (SMD: 1.57, 95% CI: 1.29 to 1.85), ferritin levels (SMD: 0.66, 95% CI: 0.50 to 0.83), and uric acid levels (SMD: -0.72; 95% CI: -0.98 to -0.46). Discussion: This umbrella review offers new insights into the epidemiological evidence regarding the associations between environmental factors, biomarkers, and ALS susceptibility. We aim for our study to enhance the understanding of the roles of environmental factors and biomarkers in ALS occurrence and assist clinicians in developing evidence-based prevention and control strategies.

Indexed as

amyotrophic lateral sclerosisbiomarkersenvironmental risk factorsmeta-analysisumbrella review

Identifiers

PMID40584177
PMCPMC12202415

What Socratic 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 Socratic graph.