Evidence map›Paper›PMID 33635119›Full record

ArticleCirculation. Genomic and precision medicine2021

Life-Time Covariation of Major Cardiovascular Diseases: A 40-Year Longitudinal Study and Genetic Studies.

Lars Lind, Johan Sundström, Johan Ärnlöv, Martin Ingelsson, Albert Henry, R Thomas Lumbers, Erik Lampa

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 4 institutions in 5 countries.

Lars LindDepartment of Medical Sciences (L.L., J.S.), Uppsala University, Sweden.
Johan SundströmDepartment of Medical Sciences (L.L., J.S.), Uppsala University, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences & Society, Karolinska Institutet, Huddinge (J.A.).
Martin IngelssonDepartment of Public Health and Caring Sciences/Geriatrics (M.I.), Uppsala University, Sweden.
Albert HenryInstitute of Cardiovascular Science (A.H.), University College London.
R Thomas LumbersBritish Heart Foundation Research Accelerator (A.H., R.T.L.), University College London.
Erik LampaUppsala Clinical Research Centre (UCR) (E.L.), Uppsala University, Sweden.
Uppsala University · SECardiovascular Institute Hospital · JPDalarna University · SESt Bartholomew's Hospital · GB

Funding

Medical Research Council MR/S003754/1
6 · The paper itself

Abstract

backgroundIt is known that certain cardiovascular diseases (CVD) are associated, like atrial fibrillation and stroke. However, for other CVDs, the links and temporal trends are less studied. In this longitudinal study, we have investigated temporal epidemiological and genetic associations between different CVDs.

methodsThe ULSAM (Uppsala Longitudinal Study of Adult Men; 2322 men aged 50 years) has been followed for 40 years regarding 4 major CVDs (incident myocardial infarction, ischemic stroke, heart failure, and atrial fibrillation). For the genetic analyses, publicly available data were used.

resultsUsing multistate modeling, significant relationships were seen between pairs of all of the 4 investigated CVDs. However, the risk of obtaining one additional CVD differed substantially both between different CVDs and between their temporal order. The relationship between heart failure and atrial fibrillation showed a high risk ratio (risk ratios, 24-26) regardless of the temporal order. A consistent association was seen also for myocardial infarction and atrial fibrillation but with a lower relative risk (risk ratios, 4-5). In contrast, the risk of receiving a diagnosis of heart failure following a myocardial infarction was almost twice as high as for the reverse temporal order (risk ratios, 16 versus 9). Genetic loci linked to traditional risk factors could partly explain the observed associations between the CVDs, but pathway analyses disclosed also other pathophysiological links.

conclusionsDuring 40 years, all of the 4 investigated CVDs were pairwise associated with each other regardless of the temporal order of occurrence, but the risk magnitude differed between different CVDs and their temporal order. Genetic analyses disclosed new pathophysiological links between CVDs.

Indexed as

Genome-Wide Association StudyAtrial FibrillationCardiovascular DiseasesGenetic LociHealth StatusHeart FailureHumansIncidenceLongitudinal StudiesMaleMendelian Randomization AnalysisMiddle AgedMyocardial InfarctionRisk Factorsadultatrial fibrillationheart failuremyocardial infarctionstroke

Identifiers

PMID33635119
PMCPMC8284356
OpenAlexW3130115432

What OpenQuestion holds

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Registered trials

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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.