Evidence map›Paper›PMID 30276493›Full record

SynthesisCurrent cardiology reports2018

Long Working Hours and Risk of Cardiovascular Disease.

Marianna Virtanen, Mika Kivimäki

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Current cardiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 7 pooled it
–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

69 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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9 more citing papers are in PubMed but not listed here.

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

2 authors.

Marianna VirtanenDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden. marianna.virtanen@pubcare.uu.se.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7 HB, UK.

Funding

British Heart Foundation RG/16/11/32334Medical Research Council MR/K013351/1Medical Research Council MR/R024227Medical Research Council MR/R024227/1
6 · The paper itself

Abstract

purpose of reviewTo summarize the evidence on the relationship between long working hours and cardiovascular disease, such as coronary heart disease and stroke. RECENT

findingsLarge-scale meta-analyses with published and individual participant observational data on more than 740,000 men and women free of cardiovascular disease report a link between long working hours (≥ 55 h a week) and the onset of cardiovascular events. Our meta-analytic update of summary evidence suggests a 1.12-fold (95% CI 1.03-1.21) increased risk associated with coronary heart disease and a 1.21-fold (95% CI 1.01-1.45) increased risk of stroke, although the evidence is somewhat inconsistent and the possibility of residual confounding and bias cannot be ruled out. Few studies have examined the mechanisms which may be stress-related, behavioral, or biological. The recent pooled analyses suggest that increased cardiac electric instability and hypercoagulability might play a role. The evidence that long working hours are a risk factor for cardiovascular disease is accumulating and suggests a small risk. Studies on the effects of long working hours in high-risk populations and those with pre-existing cardiovascular disease, mechanistic research, and intervention studies are needed to advance this research field.

Indexed as

Work Schedule ToleranceCardiovascular DiseasesHumansRisk FactorsSex FactorsStrokeCardiovascularIschemic heart diseaseMeta-analysisReviewStrokeWorking hours

Identifiers

PMID30276493
PMCPMC6267375

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.