Evidence map›Paper›PMID 32204745›Full record

ArticlePublic health nutrition2021

Dietary patterns generated by the Treelet Transform and risk of stroke: a Danish cohort study.

Signe B Frederiksen, Heidi H Themsen, Kim Overvad, Christina C Dahm

Open access · bronzeAbstract read
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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

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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

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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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

4 authors at 1 institution in 1 country.

Signe B Frederiksen *Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000Aarhus C, Denmark.
Heidi H Themsen *Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000Aarhus C, Denmark.
Kim OvervadDepartment of Public Health, Aarhus University, Bartholins Allé 2, DK-8000Aarhus C, Denmark.
Christina C DahmDepartment of Public Health, Aarhus University, Bartholins Allé 2, DK-8000Aarhus C, Denmark.ORCID 0000-0003-0481-2893
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo relate empirically derived dietary patterns identified using the Treelet Transform (TT) to risk of stroke.

designA prospective cohort study using the Danish Diet, Cancer and Health cohort. Dietary information was obtained in 1993-1997 using a validated semi-quantitative FFQ. Incident stroke diagnoses, obtained from the Danish National Patient Register, were verified by record review. Dietary patterns were generated using TT, and participants were categorised into quintiles based on their adherence to each pattern. Sex-specific Cox proportional hazard models estimated associations between dietary patterns and stroke.

settingDenmark.

participants55 061 men and women aged 50-64 years at the time of enrolment.

resultsThree dietary patterns explaining 15·4 % of the total variance were identified: a Prudent pattern, a Western pattern and a Wine & Snacks pattern. During a follow-up time of 10 years, 1513 cases occurred. Comparing the highest to lowest quintiles of intake, adherence to a Prudent pattern was inversely associated with stroke (HRmen 0·74, 95 % CI 0·60, 0·91; HRwomen 0·82, 95 % CI 0·62, 1·08), while adherence to a Western pattern was associated with greater risk (HRmen 1·61, 95 % CI 1·23, 2·10; HRwomen 2·01, 95 % CI 1·48, 2·72). No association was found for a Wine & Snacks pattern for women, but a weak inverse association was found for men (HR 0·81, 95 % CI 0·67, 0·99).

conclusionsThe results of this study are broadly in line with current recommendations for a healthy diet to prevent stroke.

Indexed as

DietStrokeCohort StudiesDenmarkFemaleHumansMaleProportional Hazards ModelsProspective StudiesRisk FactorsDietary patternsExploratory analysisStrokeTreelet Transform

Identifiers

PMID32204745
PMCPMC10195496
OpenAlexW3012871866

What OpenQuestion holds

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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.