Evidence map›Paper›PMID 31433701›Full record

ArticleJournal of the American Heart Association2019

Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross-Sectional Study in 2 Independent Cohorts.

Eva Warensjö Lemming, Liisa Byberg, Karl Stattin, Shafqat Ahmad, Lars Lind, Sölve Elmståhl, Susanna C Larsson, Alicja Wolk, Karl Michaëlsson

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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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

9 authors at 2 institutions in 2 countries.

Eva Warensjö LemmingSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Liisa BybergSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Karl StattinSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Shafqat AhmadDepartment of Medical Sciences Uppsala University Uppsala Sweden.
Lars LindDepartment of Medical Sciences Uppsala University Uppsala Sweden.
Sölve ElmståhlDivision of Geriatric Medicine Department of Clinical Sciences Lund University Lund Sweden.
Susanna C LarssonSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Alicja WolkSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Karl MichaëlssonSection of Orthopedics Department of Surgical Sciences Uppsala University Uppsala Sweden.
Uppsala University · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking. Methods and Results Dietary patterns were generated through principal component analysis in 2 population-based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high-throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis-generated dietary patterns and the cardiovascular disease-associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The healthy and the Western/traditional patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (P-value range, 5.0×10

Indexed as

DietFeeding BehaviorAgedBiomarkersBlood ProteinsCardiovascular DiseasesCross-Sectional StudiesDiet, HealthyFemaleHigh-Throughput Screening AssaysHumansImmunoassayMaleMiddle AgedNutritional StatusNutritive ValueBiomarkersBlood ProteinsMPO protein, humanPeroxidaseResistinRETN protein, humancardiovascular diseasedietary patternsEpiHealth studyinflammationproteomicsSwedish Mammography Cohort Clinical

Identifiers

PMID31433701
PMCPMC6585372
OpenAlexW2947134025

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.