Evidence map›Paper›PMID 28323823›Full record

ArticlePloS one2017

Clustering of cardiovascular risk factors and carotid intima-media thickness: The USE-IMT study.

Xin Wang, Geertje W Dalmeijer, Hester M den Ruijter, Todd J Anderson, Annie R Britton, Jacqueline Dekker, Gunnar Engström, Greg W Evans, Jacqueline de Graaf, Diederick E Grobbee and 23 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Covert macrovascular disease and early outcome after ischemic cerebrovascular events.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Observational
  5. Article
  6. Psychological stress and the longitudinal progression of subclinical atherosclerosis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

33 authors at 20 institutions in 10 countries.

Xin WangJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht,Utrecht, the Netherlands.
Geertje W DalmeijerJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht,Utrecht, the Netherlands.ORCID http://orcid.org/0000-0002-9048-6635
Hester M den RuijterLaboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Todd J AndersonDepartment of Cardiac Sciences and Libin Cardiovascular Institute of Alberta, University of Calgary, Alberta, Canada.
Annie R BrittonDepartment of Epidemiology and Public Health University College London, London, United Kingdom.
Jacqueline DekkerInstitute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Gunnar EngströmInstitute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Greg W EvansDepartment of Biostatistical Sciences and Neurology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Jacqueline de GraafDepartment of General Internal Medicine, Division of Vascular Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Diederick E GrobbeeJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht,Utrecht, the Netherlands.
Bo HedbladInstitute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Suzanne HolewijnDepartment of General Internal Medicine, Division of Vascular Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Ai IkedaOsaka Medical Center for Health Science and Promotion, Osaka, Japan.
Jussi KauhanenThe Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Kazuo KitagawaDepartment of Neurology, Tokyo Women Medical University, Tokyo, Japan.
Akihiko KitamuraOsaka Medical Center for Health Science and Promotion, Osaka, Japan.
Sudhir KurlThe Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Eva M LonnDepartment of Medicine, Division of Cardiology and Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada.
Matthias W LorenzDepartment of Neurology, University Hospital, Goethe-University, Frankfurt am Main, Germany.
Ellisiv B MathiesenBrain and Circulation Research Group, Department of Clinical Medicine, University of Tromsö, Tromsö, Norway.
Giel NijpelsInstitute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Shuhei OkazakiDepartment of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Joseph F PolakDepartment of Radiology, Tufts University School of Medicine, Boston, United States of America.
Jacqueline F PriceUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Christopher M RemboldCardiology Division, Department of Internal Medicine, University of Virginia, Charlottesville, VA, United States of America.
Maria RosvallInstitute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Tatjana RundekDepartment of Neurology, Miller School of Medicine, University of Miami, Miami, Fl, United States of America.
Jukka T SalonenDepartment of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Matthias SitzerDepartment of Neurology, University Hospital, Goethe-University, Frankfurt am Main, Germany and Department of Neurology Klinikum Herford, Germany.
Coen D A StehouwerDepartment of Internal Medicine and Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands.
Tomi-Pekka TuomainenThe Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Sanne A E PetersThe George Institute for Global Health, University of Oxford, Oxford, United Kingdom.
Michiel L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht,Utrecht, the Netherlands.
University Medical Center Utrecht · NLUniversity of Eastern Finland · FIUniversity of Gothenburg · SEAmsterdam UMC Location Vrije Universiteit Amsterdam · NLGoethe University Frankfurt · DERadboud University Nijmegen · NLBoston University · USMaastricht University · NLNational Cerebral and Cardiovascular Center · JPPopulation Health Research Institute · CAThe George Institute for Global Health · GBTokyo Women's Medical University · JPUiT The Arctic University of Norway · NOUniversity College London · GBUniversity Malaya Medical Centre · MYUniversity of Calgary · CAUniversity of Edinburgh · GBUniversity of Helsinki · FIUniversity of Miami · USUniversity of Virginia · US

Funding

NOVEL FACTORS FOR UNEXPLAINED PHENOTYPES OF SUBCLINICAL CAROTID ATHEROSCLEROSISR01NS065114 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLANTON, SUSAN HALLORAN, RUNDEK, TATJANA · 2010 to 2014
$1.7M
Genetic Determinants of Subclinical Carotid DiseaseR01NS047655 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA · 2004 to 2008
$1.5M
Genetics Determinants of Extreme Phenotypes of Subclinical AtherosclerosisK24NS062737 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA · 2009 to 2013
$975k
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-ULTRASOUNDN01HC095167 · HC · TUFTS MEDICAL CENTER · PI O'LEARY, DANIEL H. · 1999 to 2001
$62k
NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095167NINDS NIH HHS K24 NS062737NINDS NIH HHS R01 NS047655NINDS NIH HHS R01 NS065114
6 · The paper itself

Abstract

backgroundThe relation of a single risk factor with atherosclerosis is established. Clinically we know of risk factor clustering within individuals. Yet, studies into the magnitude of the relation of risk factor clusters with atherosclerosis are limited. Here, we assessed that relation.

methodsIndividual participant data from 14 cohorts, involving 59,025 individuals were used in this cross-sectional analysis. We made 15 clusters of four risk factors (current smoking, overweight, elevated blood pressure, elevated total cholesterol). Multilevel age and sex adjusted linear regression models were applied to estimate mean differences in common carotid intima-media thickness (CIMT) between clusters using those without any of the four risk factors as reference group.

resultsCompared to the reference, those with 1, 2, 3 or 4 risk factors had a significantly higher common CIMT: mean difference of 0.026 mm, 0.052 mm, 0.074 mm and 0.114 mm, respectively. These findings were the same in men and in women, and across ethnic groups. Within each risk factor cluster (1, 2, 3 risk factors), groups with elevated blood pressure had the largest CIMT and those with elevated cholesterol the lowest CIMT, a pattern similar for men and women.

conclusionClusters of risk factors relate to increased common CIMT in a graded manner, similar in men, women and across race-ethnic groups. Some clusters seemed more atherogenic than others. Our findings support the notion that cardiovascular prevention should focus on sets of risk factors rather than individual levels alone, but may prioritize within clusters.

Indexed as

Carotid Intima-Media ThicknessAgedAge FactorsCardiovascular DiseasesCholesterolCluster AnalysisCohort StudiesCross-Sectional StudiesFemaleHumansHypertensionLinear ModelsMaleMeta-Analysis as TopicMiddle AgedOverweightCholesterol

Identifiers

PMID28323823
PMCPMC5360240
OpenAlexW2598297252

What Socratic 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 Socratic graph.