Evidence map›Paper›PMID 33166994›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2021

Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry.

Yin Ge, Kevin Steel, Panagiotis Antiochos, Scott Bingham, Shuaib Abdullah, J Ronald Mikolich, Andrew E Arai, W Patricia Bandettini, Sujata M Shanbhag, Amit R Patel and 13 more

Registry-linked trialAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03192891 (Stress CMR Perfusion Imaging in the United States), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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.

NCT03192891 completednot on this map

Stress CMR Perfusion Imaging in the United States (SPINS) Study. A Society for Cardiovascular Magnetic Resonance (SCMR) Registry Study

TypeobservationalSponsorSociety for Cardiovascular Magnetic ResonanceRan2016 to 2019Enrolled2,349ConditionsMyocardial IschemiaArmsStress cardiac magnetic resonance (CMR) perfusion imaging
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Cardiac MRI at Low Field Strengths.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  7. Review
  8. Article
  9. The Society for Cardiovascular Magnetic Resonance Registry at 150,000.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  10. Article
  11. Review
  12. The weight of obesity in hypertrophic cardiomyopathy.Clinical medicine (London, England) · 2023
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Yin GeNoninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Kevin SteelCardiology Division, San Antonio Military Medical Center, San Antonio, TX 78234, USA.
Panagiotis AntiochosNoninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Scott BinghamRevere Health, Provo, UT 84604, USA.
Shuaib AbdullahVeteran Administration North Texas Healthcare System, UT Southwestern Medical Center, Dallas, TX 75216, USA.
J Ronald MikolichDepartment of Cardiovascular Medicine, Sharon Regional Health System, Sharon, PA 16148, USA.
Andrew E AraiNational Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA.
W Patricia BandettiniNational Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA.
Sujata M ShanbhagNational Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA.
Amit R PatelCardiology Division, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Afshin Farzaneh-FarDivision of Cardiology, University of Illinois at Chicago, Chicago, IL 60612, USA.
John F HeitnerDivision of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA.
Chetan ShenoyCardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
Steve W LeungDivision of Cardiovascular Medicine, Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY 40536, USA.
Jorge A GonzalezDivision of Cardiology & Radiology, Scripps Clinic, La Jolla, CA 92037, USA.
Dipan J ShahHouston Methodist DeBakey Heart & Vascular Center, Houston, TX 77030, USA.
Subha V RamanDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA.
Haseeb NawazDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA.
Victor A FerrariCardiovascular Division, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Jeanette Schulz-MengerWorking Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Berlin, and Helios Clinics, Berlin 13125, Germany.
Matthias StuberDepartment of Radiology, University Hospital (CHUV), University of Lausanne (UNIL), Lausanne 1011, Switzerland.
Orlando P SimonettiDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA.
Raymond Y KwongNoninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsNon-invasive assessment and risk stratification of coronary artery disease in patients with large body habitus is challenging. We aim to examine whether body mass index (BMI) modifies the prognostic value and diagnostic utility of stress cardiac magnetic resonance imaging (CMR) in a multicentre registry. METHODS AND

resultsThe SPINS Registry enrolled consecutive intermediate-risk patients who presented with a clinical indication for stress CMR in the USA between 2008 and 2013. Baseline demographic data including BMI, CMR indices, and ratings of study quality were collected. Primary outcome was defined by a composite of cardiovascular death and non-fatal myocardial infarction. Of the 2345 patients with available BMI included in the SPINS cohort, 1177 (50%) met criteria for obesity (BMI ≥ 30) with 531 (23%) at or above Class 2 obesity (BMI ≥ 35). In all BMI categories, >95% of studies were of diagnostic quality for cine, perfusion, and late gadolinium enhancement (LGE) sequences. At a median follow-up of 5.4 years, those without ischaemia and LGE experienced a low annual rate of hard events (<1%), across all BMI strata. In patients with obesity, both ischaemia [hazard ratio (HR): 2.14; 95% confidence interval (CI): 1.30-3.50; P = 0.003] and LGE (HR: 3.09; 95% CI: 1.83-5.22; P < 0.001) maintained strong adjusted association with the primary outcome in a multivariable Cox regression model. Downstream referral rates to coronary angiography, revascularization, and cost of care spent on ischaemia testing did not significantly differ within the BMI categories.

conclusionIn this large multicentre registry, elevated BMI did not negatively impact the diagnostic quality and the effectiveness of risk stratification of patients referred for stress CMR.

Indexed as

Contrast MediaGadoliniumHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineObesityPerfusion ImagingPredictive Value of TestsPrognosisRegistriesUnited StatesContrast MediaGadoliniumobesityprognosisstress cardiac MRI

Identifiers

PMID33166994
PMCPMC8599869

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Registered trials

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.