Evidence map›Paper›PMID 39960923›Full record

ArticleMedicine2025

Dietary factors and the risk of gastric and colorectal cancers: A Mendelian randomization study.

Yunda Zhang, Haiqun Xia, Shengfei Yang, Weixuan Yu, Ming Liu, Dongwei Li

Abstract read
In one paragraph

Article in Medicine, 2025. 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

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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

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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
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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.

Yunda ZhangDepartment of General Surgery, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.
Haiqun XiaDepartment of Radiation Oncology, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.
Shengfei YangGuangdong Medical University, DongGuan, China.
Weixuan YuDepartment of General Surgery, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.
Ming LiuDepartment of General Surgery, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.
Dongwei LiDepartment of General Surgery, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.ORCID 0009-0000-5475-9395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary factors can significantly affect the development of gastric and colorectal cancers; however, observational findings on the impact of micronutrients and macronutrients on the risk of gastric and colorectal cancers are inconsistent. It is crucial to clarify these relationships to create nutritional recommendations for cancer prevention. A two-sample Mendelian randomization investigation was performed to examine the impact of circulating levels of 15 micronutrients (such as vitamin A, folate, vitamin B6, vitamin B12, vitamin C, vitamin D, vitamin E, β-carotene, calcium, copper, iron, magnesium, phosphorus, selenium, and zinc), along with adjusted relative macronutrient intake (including protein, carbohydrate, sugar, and fat), on the risk of gastric and colorectal cancers. Genetically predicted relative protein intake is significantly associated with the risk of colorectal cancer (odds ratio [OR] 95% confidence interval [CI] = 0.41 [0.24, 0.69]; P = .0007). Evidence suggests that genetically predicted macronutrients, such as carbohydrate (OR 95% CI = 1.88 [1.13, 3.14]; P = .0154), and micronutrients, such as vitamin C (OR 95% CI = 0.81 [0.69-0.94]; P = .008) and vitamin B12 (OR 95% CI = 1.16 [1.04, 1.28]; P = .006), may also influence the risk of colorectal cancer. Evidence suggests that intake of sugar (OR 95% CI = 0.47 [0.24, 0.90]; P = .02), and vitamin C (OR 95% CI = 0.78 [0.62, 0.99]; P = .04) may influence the risk of gastric cancer. However, no significant associations were observed between other nutrients and gastrointestinal malignancy. Taken together, these findings suggest that the intake of protein, carbohydrate, sugar, vitamin C, and vitamin B12 may influence the risk of gastric and colorectal cancers. However, further in-depth studies are needed to confirm this.

Indexed as

Colorectal NeoplasmsDietMicronutrientsStomach NeoplasmsDietary CarbohydratesHumansMendelian Randomization AnalysisRisk FactorsDietary CarbohydratesMicronutrients

Identifiers

PMID39960923
PMCPMC11835071

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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.