Evidence map›Paper›PMID 32585832›Full record

ArticleJournal of clinical medicine2020

A Novel Clinical and Stress Cardiac Magnetic Resonance (C-CMR-10) Score to Predict Long-Term All-Cause Mortality in Patients with Known or Suspected Chronic Coronary Syndrome.

Victor Marcos-Garces, Jose Gavara, Jose V Monmeneu, Maria P Lopez-Lereu, Nerea Perez, Cesar Rios-Navarro, Elena De Dios, David Moratal, Gema Miñana, Julio Nuñez and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

Victor Marcos-GarcesDepartment of Cardiology, Hospital Clinico Universitario de Valencia, 46010 Valencia, Spain.ORCID 0000-0001-5565-5547
Jose GavaraInstituto de Investigacion Sanitaria INCLIVA, 46010 Valencia, Spain.
Jose V MonmeneuCardiovascular Magnetic Resonance Unit, Exploraciones Radiologicas Especiales (ERESA), 46015 Valencia, Spain.
Maria P Lopez-LereuCardiovascular Magnetic Resonance Unit, Exploraciones Radiologicas Especiales (ERESA), 46015 Valencia, Spain.ORCID 0000-0002-5485-1869
Nerea PerezInstituto de Investigacion Sanitaria INCLIVA, 46010 Valencia, Spain.
Cesar Rios-NavarroInstituto de Investigacion Sanitaria INCLIVA, 46010 Valencia, Spain.
Elena De DiosCentro de Investigación Biomédica en Red-Cardiovascular (CIBER-CV), 28029 Madrid, Spain.
David MoratalCenter for Biomaterials and Tissue Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-2825-3646
Gema MiñanaDepartment of Cardiology, Hospital Clinico Universitario de Valencia, 46010 Valencia, Spain.
Julio NuñezDepartment of Cardiology, Hospital Clinico Universitario de Valencia, 46010 Valencia, Spain.ORCID 0000-0003-1672-7119
Francisco J ChorroDepartment of Cardiology, Hospital Clinico Universitario de Valencia, 46010 Valencia, Spain.
Vicente BodiDepartment of Cardiology, Hospital Clinico Universitario de Valencia, 46010 Valencia, Spain.

Funding

Instituto de Salud Carlos III CIBERCV16/11/00486Instituto de Salud Carlos III PI17/01836
6 · The paper itself

Abstract

Vasodilator stress cardiac magnetic resonance (stressCMR) has shown robust diagnostic and prognostic value in patients with known or suspected chronic coronary syndrome (CCS). However, it is unknown whether integration of stressCMR with clinical variables in a simple clinical-imaging score can straightforwardly predict all-cause mortality in this population. We included 6187 patients in a large registry that underwent stressCMR for known or suspected CCS. Several clinical and stressCMR variables were collected, such as left ventricular ejection fraction (LVEF) and ischemic burden (number of segments with stress-induced perfusion defects (PD)). During a median follow-up of 5.56 years, we registered 682 (11%) all-cause deaths. The only independent predictors of all-cause mortality in multivariable analysis were age, male sex, diabetes mellitus (DM), LVEF and ischemic burden. Based on the weight of the chi-square increase at each step of the multivariable analysis, we created a simple clinical-stressCMR (C-CMR-10) score that included these variables (age ≥ 65 years = 3 points, LVEF ≤ 50% = 3 points, DM = 2 points, male sex = 1 point, and ischemic burden > 5 segments = 1 point). This 0 to 10 points C-CMR-10 score showed good performance to predict all-cause annualized mortality rate ranging from 0.29%/year (score = 0) to >4.6%/year (score ≥ 7). The goodness of the model and of the C-CMR-10 score was separately confirmed in 2 internal cohorts (

Indexed as

all-cause mortalitycardiac magnetic resonancechronic coronary syndromeischemic burdenprognosisscore

Identifiers

PMID32585832
PMCPMC7356983

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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.