Evidence map›Paper›PMID 28122619›Full record

ArticleCardiovascular diabetology2017

Obesity, metabolic syndrome and cardiovascular prognosis: from the Partners coronary computed tomography angiography registry.

Edward A Hulten, Marcio Sommer Bittencourt, Ryan Preston, Avinainder Singh, Carla Romagnolli, Brian Ghoshhajra, Ravi Shah, Siddique Abbasi, Suhny Abbara, Khurram Nasir and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Cardiovascular diabetology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. The aging human body shape.NPJ aging and mechanisms of disease · 2020
    Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. 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

14 authors.

Edward A HultenNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Marcio Sommer BittencourtNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ryan PrestonDivision of Medicine, Walter Reed National Military Medical Center and Uniformed Services University of Health Sciences, Bethesda, MD, USA.
Avinainder SinghNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Carla RomagnolliCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil.
Brian GhoshhajraCardiac MR PET CT Program, Department of Radiology, Division of Cardiac Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Ravi ShahCardiology Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Siddique AbbasiNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Suhny AbbaraCardiothoracic Imaging Division, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9316, USA.
Khurram NasirCenter for Wellness and Prevention Research, Baptist Health South Florida, Miami, FL, USA.
Michael BlahaJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Udo HoffmannCardiac MR PET CT Program, Department of Radiology, Division of Cardiac Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Marcelo F Di CarliNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ron BlanksteinNon-Invasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. rblankstein@partners.org.

Funding

Myocardial tissue architecture in heart failure: implications on physiology and fitnessK23HL127099 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SHAH, RAVI · 2016 to 2019
$668k
NHLBI NIH HHS K23 HL127099
6 · The paper itself

Abstract

objectiveTo investigate the relationship among body mass index (BMI), cardiometabolic risk and coronary artery disease (CAD) among patients undergoing coronary computed tomography angiography (CTA).

methodsRetrospective cohort study of 1118 patients, who underwent coronary CTA at two centers from September 2004 to October 2011. Coronary CTA were categorized as normal, nonobstructive CAD (<50%), or obstructive CAD (≥50%) in addition to segment involvement (SIS) and stenosis scores. Extensive CAD was defined as SIS > 4. Association of BMI with cardiovascular prognosis was evaluated using multivariable fractional polynomial models.

resultsMean age of the cohort was 57 ± 13 years with median follow-up of 3.2 years. Increasing BMI was associated with MetS (OR 1.28 per 1 kg/m

conclusionsCompared to normal BMI, there was an increased burden of CAD for BMI > 25 kg/m

Indexed as

Computed Tomography AngiographyAdultAgedBody Mass IndexBostonChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFemaleHumansKaplan-Meier EstimateMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisCohortCoronary artery diseaseCoronary computed tomography angiographyMetabolic syndromeObesityPrognosis

Identifiers

PMID28122619
PMCPMC5264456

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.