Evidence map›Paper›PMID 42494392›Full record

ArticleFrontiers in neurology

Integrating Mendelian randomization, machine learning and retrospective clinical data: an exploratory analysis of the cross-disease association between CHB and PD, with a focus on eosinophil alterations.

Yao Ge, Hongbin Cai, Yike Li, YaTing Li, HuiFang Liu, Guilin Zeng, Kui Yang, Yang Luo

Abstract read
In one paragraph

Article in Frontiers in neurology. 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

8 authors.

Yao Ge *The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Hongbin Cai *Department of Neurology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, China.
Yike Li *The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
YaTing LiThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
HuiFang LiuThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Guilin ZengThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Kui YangThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Yang LuoThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidemiological studies on the association between chronic hepatitis B (CHB) and Parkinson's disease (PD) have yielded inconsistent findings, with causality obscured by confounding and limited mechanistic evidence. Methods: The study employed an integrated approach encompassing two-sample Mendelian randomization(MR), multi-omics analysis, machine learning-driven gene screening, immune infiltration profiling, and multicenter retrospective clinical validation, with retrospective clinical validation conducted in two independent cohorts. Results: MR provided evidence suggesting a genetically predicted inverse association between susceptibility to CHB and the risk of PD (OR = 0.82-0.94, Conclusion: Genetic susceptibility to chronic hepatitis B is inversely associated with Parkinson's disease risk. The shared pathophysiological landscape potentially involves

Indexed as

CHB (chronic hepatitis B)eosinophilmachine learningParkinson’s diseasephenylalanine metabolism

Identifiers

PMID42494392
PMCPMC13393456

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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.