Evidence map›Paper›PMID 34671067›Full record

ArticleScientific reports2021

Triglycerides and low HDL cholesterol predict coronary heart disease risk in patients with stable angina.

Chiara Caselli, Raffaele De Caterina, Jeff M Smit, Jonica Campolo, Mohammed El Mahdiui, Rosetta Ragusa, Alberto Clemente, Tiziana Sampietro, Aldo Clerico, Riccardo Liga and 7 more

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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.

NCT00979199 phase4completednot on this map

Evaluation of Integrated Cardiac Imaging for the Detection and Characterization of Ischemic Heart Disease

TypeinterventionalSponsorFondazione C.N.R./Regione Toscana "G. Monasterio", Pisa, ItalyRan2009 to 2012Enrolled697ConditionsIschemic Heart DiseaseArmsNon invasive cardiac imaging
NCT04448691 nacompletednot on this map

"simulation modeling of coronary artery disease: a tool for clinical decision support"

TypeinterventionalSponsorFondazione C.N.R./Regione Toscana "G. Monasterio", Pisa, ItalyRan2016 to 2017Enrolled275ConditionsManagement/Treatment of Coronary Artery DiseaseArmsCCTA
NCT06601153 recruitingnot on this mapstarted 2023, after this paper: background citation

Health Improvements by Understanding Residual Risk in CAd and NEw Targets for Prevention/treatment - HURRICANE

TypeobservationalSponsorFondazione Toscana Gabriele MonasterioRan2023 to 2025Enrolled961ConditionsCoronary Arterial Disease (CAD)ArmsCardiac CT
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors at 7 institutions in 3 countries.

Chiara CaselliInstitute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy. chiara.caselli@ifc.cnr.it.
Raffaele De CaterinaCardiothoracic and Vascular Department, Azienda Ospedaliero-Universitaria Pisana, Via Roma, 67, Pisa, Italy.
Jeff M SmitDepartment of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden, The Netherlands.
Jonica CampoloInstitute of Clinical Physiology CNR, ASST Grande Ospedale Metropolitano Niguarda, P.Zza Ospedale Maggiore, 3, Milan, Italy.
Mohammed El MahdiuiDepartment of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden, The Netherlands.
Rosetta RagusaInstitute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
Alberto ClementeCardiovascular Department, Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy.
Tiziana SampietroCardiovascular Department, Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy.
Aldo ClericoCardiovascular Department, Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy.
Riccardo LigaCardiothoracic and Vascular Department, Azienda Ospedaliero-Universitaria Pisana, Via Roma, 67, Pisa, Italy.
Gualtiero PelosiInstitute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
Silvia RocchiccioliInstitute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
Oberdan ParodiInstitute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
Arthur ScholteDepartment of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden, The Netherlands.
Jhuani KnuutiPET Center, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku, Finland.
Danilo NegliaCardiovascular Department, Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy. danilo.neglia@ftgm.it.
EVINCI and SMARTool
Istituto di Fisiologia Clinica · ITLeiden University · NLScuola Superiore Sant'Anna · ITAzienda Ospedaliera Universitaria Pisana · ITFondazione Toscana Gabriele Monasterio · ITOspedale Maggiore · ITTurku University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed whether high triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C) levels, expressed by an increased TG/HDL-C ratio, predict coronary atherosclerotic disease (CAD) outcomes in patients with stable angina. We studied 355 patients (60 ± 9 years, 211 males) with stable angina who underwent coronary computed tomography angiography (CTA), were managed clinically and followed for 4.5 ± 0.9 years. The primary composite outcome was all-cause mortality and non-fatal myocardial infarction. At baseline, the proportion of males, patients with metabolic syndrome, diabetes and obstructive CAD increased across TG/HDL-C ratio quartiles, together with markers of insulin resistance, hepatic and adipose tissue dysfunction and myocardial damage, with no difference in total cholesterol or LDL-C. At follow-up, the global CTA risk score (HR 1.06, 95% confidence interval (CI) 1.03-1.09, P = 0.001) and the IV quartile of the TG/HDL-C ratio (HR 2.85, 95% CI 1.30-6.26, P < 0.01) were the only independent predictors of the primary outcome. The TG/HDL-C ratio and the CTA risk score progressed over time despite increased use of lipid-lowering drugs and reduction in LDL-C. In patients with stable angina, high TG and low HDL-C levels are associated with CAD related outcomes independently of LDL-C and treatments.Trial registration. EVINCI study: ClinicalTrials.gov NCT00979199, registered September 17, 2009; SMARTool study: ClinicalTrials.gov NCT04448691, registered June 26, 2020.

Indexed as

Angina, StableBiomarkersCardiomyopathiesCholesterolCholesterol, HDLCholesterol, LDLCoronary AngiographyCoronary Artery DiseaseFemaleHumansHypolipidemic AgentsInsulin ResistanceMaleMetabolic SyndromeMiddle AgedRisk FactorsBiomarkersCholesterolCholesterol, HDLCholesterol, LDLHypolipidemic AgentsTriglycerides

Identifiers

PMID34671067
PMCPMC8528835
OpenAlexW3206814972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.