Evidence map›Paper›PMID 33329731›Full record

ArticleFrontiers in genetics2020

Bidirectional Causal Associations Between Inflammatory Bowel Disease and Ankylosing Spondylitis: A Two-Sample Mendelian Randomization Analysis.

Zhiyong Cui, Guojin Hou, Xiangyu Meng, Hui Feng, Baichuan He, Yun Tian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

27 citing papers in PubMed, 89 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Zhiyong CuiDepartment of Orthopedic Surgery, Peking University Third Hospital, Beijing, China.
Guojin HouDepartment of Orthopedic Surgery, Peking University Third Hospital, Beijing, China.
Xiangyu MengDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Hui FengDepartment of Orthopedic Surgery, Peking University Third Hospital, Beijing, China.
Baichuan HeDepartment of Orthopedic Surgery, Peking University Third Hospital, Beijing, China.
Yun TianDepartment of Orthopedic Surgery, Peking University Third Hospital, Beijing, China.
Peking University · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssociations between inflammatory bowel disease (IBD) [including ulcerative colitis (UC) and Crohn's disease (CD)] and ankylosing spondylitis (AS) were discovered in observational studies, but no evidence supported the causal relationship between the two diseases.

methodsWe employed two-sample Mendelian randomization (MR) to estimate the unconfounded bidirectional causal associations between IBD (including UC and CD) and AS. We selected single-nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS) after strictly assessing the quality of the studies in the IEU GWAS database. Sensitivity analyses were also conducted to verify whether heterogeneity and pleiotropy can bias the MR results.

resultsWe found positive causal effects of genetically increased UC, CD, and IBD risk on AS (e.g., UC and AS, IVW OR: 1.0256, 95% CI: 1.0130∼1.0385,

conclusionOur results provide new evidence indicating there are positive causal effects of IBD on AS in the European population. We suggest that the features of inflammatory bowel disease in particular should be assessed in the diagnosis of ankylosing spondylitis. We also provide some advice for preventing and treating the two diseases.

Indexed as

ankylosing spondylitisCrohn’s diseaseinflammatory bowel diseaseMendelian randomizationulcerative colitis

Identifiers

PMID33329731
PMCPMC7710797
OpenAlexW3105533996

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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.