Evidence map›Paper›PMID 38223733›Full record

ArticleHeliyon2024

Metabolic syndrome and risk of colorectal cancer: A Mendelian randomization study.

Yuhua Chen, Wanru Kong, Min Liu, Qiang Li, Yuping Wang, Ya Zheng, Yongning Zhou

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Yuhua ChenThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Wanru KongDepartment of Infection Management, Gansu Provincial Hospital, Lanzhou, 730000, China.
Min LiuDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Qiang LiDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Yuping WangDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Ya ZhengDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Yongning ZhouDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies have previously demonstrated a significant relationship among both metabolic syndrome (Mets) and colorectal cancer (CRC). Whether there is a causal link remains controversial. Objective: To clarify whether Mets and their components have a causal effect on colorectal cancer, we have carried out a bidirectional Mendelian randomization analysis (MR). Methods: This study started from genome-wide association data for Mets and its 5 components (hypertension, waist circumference, fasting blood glucose, serum triglycerides, and serum high-density lipoprotein cholesterol) and colorectal cancer. Mendelian randomization (MR) techniques were used in the study to examine their associations. Results: After Benjamini-Hochberg multiple corrections, genetically predicted significant causal link exists between WC (waist circumference) and CRC. The OR was 1.35 (95 % CI: 1.08-1.69; p = 0.0096). Other Mets components (HBP, FBG, TG, HDL), on the other hand, found no evidence of a genetic link between CRC and Mets. In addition, MR results showed that CRC was not causally related to either Mets or the components. We get the same result in the validated dataset. Conclusion: According to the bidirectional MR investigation shows a significant causal relationship among obesity and CRC in the Mets component but no causal relationship in the opposite direction.

Indexed as

Colorectal cancer (CRC)Instrumental variant (IV)Mendelian randomization (MR)Metabolic syndrome (mets)Single-nucleotide polymorphism (SNP)Waist circumference (WC)

Identifiers

PMID38223733
PMCPMC10784169

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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.