Evidence map›Paper›PMID 29468488›Full record

ArticleJournal of thrombosis and thrombolysis2018

TV viewing and incident venous thromboembolism: the Atherosclerotic Risk in Communities Study.

Yasuhiko Kubota, Mary Cushman, Neil Zakai, Wayne D Rosamond, Aaron R Folsom

Abstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.7field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Immune cell-mediated venous thrombus resolution.Research and practice in thrombosis and haemostasis · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. eThrombosis: A new risk factor for venous thromboembolism in the pandemic era.Research and practice in thrombosis and haemostasis · 2021
    Article
  11. Review
  12. Resolution of Deep Venous Thrombosis: Proposed Immune Paradigms.International journal of molecular sciences · 2020
    Review
  13. 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

5 authors at 3 institutions in 1 country.

Yasuhiko KubotaDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Minneapolis, MN, 55454, USA. kubot007@umn.edu.
Mary CushmanDepartments of Medicine and Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Neil ZakaiDepartments of Medicine and Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Wayne D RosamondDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Aaron R FolsomDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Minneapolis, MN, 55454, USA.
University of Minnesota · USUniversity of Vermont · USUniversity of North Carolina at Chapel Hill · US

Funding

Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL059367
6 · The paper itself

Abstract

TV viewing is associated with risk of arterial vascular diseases, but has not been evaluated in relation to venous thromboembolism (VTE) risk in Western populations. In 1987-1989, the Atherosclerosis Risk in Communities Study obtained information on the frequency of TV viewing in participants aged 45-64 and followed them prospectively. In individuals free of prebaseline VTE (n = 15, 158), we used a Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of incident VTE according to frequency of TV viewing ("Never or seldom", "Sometimes", "Often" or "Very often"). During the 299,767 person-years of follow-up, we identified 691 VTE events. In a multivariable-adjusted model, the frequency of TV viewing showed a positive dose-response relation with VTE incidence (P for trend = 0.036), in which "very often" viewing TV carried 1.71 (95% CI 1.26-2.32) times the risk of VTE compared with "never or seldom" viewing TV. This association to some degree was mediated by obesity (25% mediation, 95% CI 10.7-27.5). Even among individuals who met a recommended level of physical activity, viewing TV "very often" carried 1.80 (1.04-3.09) times the risk of VTE, compared to viewing TV "never or seldom". Greater frequency of TV viewing was independently associated with increased risk of VTE, partially mediated by obesity. Achieving a recommended physical activity level did not eliminate the increased VTE risk associated with frequent TV viewing. Avoiding frequent TV viewing as well as increasing physical activity and controlling body weight might be beneficial for VTE prevention.

Indexed as

TelevisionAtherosclerosisHumansIncidenceMiddle AgedObesityRisk FactorsVenous ThromboembolismPhysical activitySedentary behaviorTVVenous thromboembolism

Identifiers

PMID29468488
PMCPMC6231408
OpenAlexW2788798060

What OpenQuestion holds

Textmetadata
LicenceTDM
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.