Evidence map›Paper›PMID 39609326›Full record

ArticleDiscover oncology2024

Type 2 diabetes and colorectal cancer: genetic causality explored via Mendelian randomization.

Qiuhong Ke, Yongbing Huang, Libin Cheng, Chaolin Lin, Linhua Zhao, Wulong Huang, Zhisheng Chen, Yimin Xu, Yipiao Huang, Lanlan Cai and 2 more

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

12 authors.

Qiuhong KeDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Yongbing HuangDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Libin ChengDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Chaolin LinDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Linhua ZhaoDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Wulong HuangDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Zhisheng ChenDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Yimin XuDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Yipiao HuangDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Lanlan CaiDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Bin LinDepartment of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.
Rui TangSouthwest Medical University, Luzhou, China. 20210199120038@stu.swmu.edu.cn.

Funding

university-level project from Putian University 2023112
6 · The paper itself

Abstract

backgroundThe global burden of type 2 diabetes (T2D) and colorectal cancer (CRC) continues to rise. Observational studies have suggested a link between T2D and an elevated risk of CRC. However, these studies are often susceptible to confounding factors and reverse causation, leading to inconsistent findings. There is a specific gap in knowledge regarding the causal nature of the relationship between T2D and CRC, which this study aims to address using a more robust approach. To fill this gap, we employed Mendelian randomization (MR), a method that uses genetic variants as instrumental variables (IVs) to infer causality, providing clearer insight into the genetic links between T2D and CRC.

methodsA bidirectional MR study was conducted to investigate the causal links between T2D and CRC. Genetic instruments for T2D were derived from two large genome-wide association studies (GWAS) with a total sample size of X individuals, and CRC genetic instruments were obtained from a GWAS with Y individuals. The MR analysis utilized the inverse-variance weighted (IVW) method as the primary analysis, alongside sensitivity analyses such as heterogeneity and pleiotropy analysis to account for potential pleiotropy and bias. Additionally, to enhance the robustness of the findings and minimize the influence of data from different GWAS sources, we performed a meta-analysis of the IVW results.

resultsThe MR analysis and meta-analysis revealed that genetically predicted T2D is associated with an increased risk of CRC (Pooled OR

conclusionOur bidirectional MR study and meta-analysis provide evidence that T2D increases the risk of colorectal cancer. However, there is no evidence to support a reverse causal relationship. These findings highlight the importance of monitoring and managing T2D as part of CRC prevention strategies.

Indexed as

CausalityColorectal neoplasmsDiabetes mellitusGenome-wide association studyMendelian randomization analysisType 2

Identifiers

PMID39609326
PMCPMC11604986

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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.