Evidence map›Paper›PMID 34444852›Full record

ArticleNutrients2021

Effect of the Interaction between Dietary Patterns and the Gastric Microbiome on the Risk of Gastric Cancer.

Madhawa Gunathilake, Jeong-Hee Lee, Il-Ju Choi, Young-Il Kim, Jeong-Seon Kim

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Association between priori and posteriori dietary patterns and gastric cancer risk: an updated systematic review and meta-analysis of observational studies.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Microbiota and gastric cancer: from molecular mechanisms to therapeutic strategies.Frontiers in cellular and infection microbiology · 2025
    Review
  7. Exploring the Link betweenAntibiotics (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. 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

5 authors at 1 institution in 1 country.

Madhawa GunathilakeDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si 10408, Gyeonggi-do, Korea.
Jeong-Hee LeeDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si 10408, Gyeonggi-do, Korea.
Il-Ju ChoiCenter for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea.
Young-Il KimCenter for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea.ORCID 0000-0002-2614-3419
Jeong-Seon KimDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si 10408, Gyeonggi-do, Korea.ORCID 0000-0002-0889-2686
National Cancer Center · KR

Funding

National Cancer Center Korea 1410260National Cancer Center Korea 1810980National Cancer Center Korea 1910330
6 · The paper itself

Abstract

We aimed to observe the combined effects of Gaussian graphical model (GGM)-derived dietary patterns and the gastric microbiome on the risk of gastric cancer (GC) in a Korean population. The study included 268 patients with GC and 288 healthy controls. Food intake was assessed using a 106-item semiquantitative food frequency questionnaire. GGMs were applied to derive dietary pattern networks. 16S rRNA gene sequencing was performed using DNA extracted from gastric biopsy samples. The fruit pattern network was inversely associated with the risk of GC for the highest vs. lowest tertiles in the total population (odds ratio (OR): 0.47; 95% confidence interval (CI): 0.28-0.77;

Indexed as

Case-Control StudiesDietDiet SurveysDysbiosisEatingFemaleFruitGastrointestinal MicrobiomeHumansMaleMiddle AgedRepublic of KoreaRisk FactorsRNA, Ribosomal, 16SSex FactorsStomachRNA, Ribosomal, 16Sdietary patternsgastric cancergastric microbiomeGaussian graphical modelsmicrobial dysbiosis

Identifiers

PMID34444852
PMCPMC8401549
OpenAlexW3188377011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.