Evidence map›Paper›PMID 39421304›Full record

ArticleJournal of immunology research2024

The Causal Relationship between Immune-Mediated Inflammatory Diseases and Aortic Aneurysm: A Bidirectional Two-Sample Mendelian Randomization Study.

Sijia Sun, Jie Li, Mengxian Sun, Jie He, Songtao Tan, Ge Wang, Yuan Zheng, Xiaoping Fan

Abstract read
In one paragraph

Article in Journal of immunology research, 2024. 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

8 authors.

Sijia SunSecond Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-2464-3890
Jie LiSecond Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0001-8691-3083
Mengxian SunDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0000-0003-0369-2148
Jie HeDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0009-0009-2487-8663
Songtao TanDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0009-0005-7778-5146
Ge WangDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0009-0004-0164-9925
Yuan ZhengDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0000-0003-4483-7876
Xiaoping FanDepartment of Cardiovascular Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China.ORCID https://orcid.org/0000-0002-7067-7450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: We sourced genetic association data from public genome-wide association study databases for populations of European ancestry. Adhering to MR principles, we identified valid instrumental variables from genetic variants. A range of statistical methods were applied for MR analysis, with the inverse variance weighted (IVW) method emerging as the most reliable estimator of causality in this context. Results: The causal estimates obtained using the IVW method revealed a significant association between genetically predicted AA and rheumatoid arthritis (RA; OR = 1.06, 95% CI = 1.01-1.12, Conclusion: Our findings shed light on the causal effects between genetically predisposed AA and RA. They also suggest the potential clinical utility of human leukocyte antigen (HLA) risk genetic markers for developing personalized treatment and prevention strategies.

Indexed as

Aortic AneurysmArthritis, RheumatoidGenetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisCrohn DiseaseHumansInflammationPolymorphism, Single Nucleotide

Identifiers

PMID39421304
PMCPMC11483648

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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.