Evidence map›Paper›PMID 31703460›Full record

ArticleGenes2019

Genetically Determined Physical Activity and Its Association with Circulating Blood Cells.

Femke M Prins, M Abdullah Said, Yordi J van de Vegte, Niek Verweij, Hilde E Groot, Pim van der Harst

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2019. 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
–field-weighted citation impact
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.

  1. Article
  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

6 authors.

Femke M PrinsDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-8491-2610
M Abdullah SaidDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0003-2920-7745
Yordi J van de VegteDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
Niek VerweijDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
Hilde E GrootDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-8265-3085
Pim van der HarstDepartment of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-2713-686X

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Lower levels of physical activity (PA) have been associated with increased risk of cardiovascular disease. Worldwide, there is a shift towards a lifestyle with less PA, posing a serious threat to public health. One of the suggested mechanisms behind the association between PA and disease development is through systemic inflammation, in which circulating blood cells play a pivotal role. In this study we investigated the relationship between genetically determined PA and circulating blood cells. We used 68 single nucleotide polymorphisms associated with objectively measured PA levels to perform a Mendelian randomization analysis on circulating blood cells in 222,645 participants of the UK Biobank. For inverse variance fixed effects Mendelian randomization analyses,

Indexed as

ExercisePolymorphism, Single NucleotideAdultAgedBlood Cell CountEosinophiliaFemaleHumansMaleMendelian Randomization AnalysisMiddle Agedblood cell countsinflammationphysical activitysingle nucleotide polymorphisms

Identifiers

PMID31703460
PMCPMC6895919

What OpenQuestion holds

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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.