Evidence map›Paper›PMID 38278865›Full record

ArticleScientific reports2024

Dietary patterns, untargeted metabolite profiles and their association with colorectal cancer risk.

Stina Bodén, Rui Zheng, Anton Ribbenstedt, Rikard Landberg, Sophia Harlid, Linda Vidman, Marc J Gunter, Anna Winkvist, Ingegerd Johansson, Bethany Van Guelpen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 5 institutions in 3 countries.

Stina BodénDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden. stina.boden@umu.se.ORCID 0000-0002-8958-975X
Rui ZhengDepartment of Surgical Sciences, The EpiHub, Uppsala University, Uppsala, Sweden.
Anton RibbenstedtDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Rikard LandbergDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Sophia HarlidDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.ORCID 0000-0001-8540-6891
Linda VidmanDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
Marc J GunterInternational Agency for Research On Cancer, Nutrition and Metabolism Section, 69372, Lyon Cedex 08, France.
Anna WinkvistDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-9122-7240
Ingegerd JohanssonDepartment of Odontology, Section of Cariology, Umeå University, Umeå, Sweden.ORCID 0000-0002-9227-8434
Bethany Van GuelpenDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.ORCID 0000-0002-9692-101X
Carl BruniusDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden. carl.brunius@chalmers.se.
Umeå University · SEChalmers University of Technology · SECentre international de recherche sur le cancer · FRUniversity of Gothenburg · SEUppsala University · SE

Funding

World Health Organization 001
6 · The paper itself

Abstract

We investigated data-driven and hypothesis-driven dietary patterns and their association to plasma metabolite profiles and subsequent colorectal cancer (CRC) risk in 680 CRC cases and individually matched controls. Dietary patterns were identified from combined exploratory/confirmatory factor analysis. We assessed association to LC-MS metabolic profiles by random forest regression and to CRC risk by multivariable conditional logistic regression. Principal component analysis was used on metabolite features selected to reflect dietary exposures. Component scores were associated to CRC risk and dietary exposures using partial Spearman correlation. We identified 12 data-driven dietary patterns, of which a breakfast food pattern showed an inverse association with CRC risk (OR per standard deviation increase 0.89, 95% CI 0.80-1.00, p = 0.04). This pattern was also inversely associated with risk of distal colon cancer (0.75, 0.61-0.96, p = 0.01) and was more pronounced in women (0.69, 0.49-0.96, p = 0.03). Associations between meat, fast-food, fruit soup/rice patterns and CRC risk were modified by tumor location in women. Alcohol as well as fruit and vegetables associated with metabolite profiles (Q

Indexed as

Colorectal NeoplasmsDietFemaleHumansRisk FactorsSurveys and QuestionnairesVegetables

Identifiers

PMID38278865
PMCPMC10817924
OpenAlexW4391256337

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.