Evidence map›Paper›PMID 30535920›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

CRAX: A simple cardiovascular risk assessment tool to predict risk of acute myocardial infarction or death.

Patrick Martineau, Piotr Slomka, Andrew Goertzen, William D Leslie

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Prediction of 2-year major adverse cardiac events from myocardial perfusion scintigraphy and clinical risk factors.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  2. Adding value to myocardial perfusion scintigraphy: A prediction tool to predict adverse cardiac outcomes and risk stratify.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  3. Cardiovascular risk assessment models: Have we found the perfect solution yet?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Patrick MartineauDepartment of Nuclear Medicine, University of Manitoba, 820 Sherbrook Street GC321, Winnipeg, MB, R3A 1R9, Canada.
Piotr SlomkaCedars-Sinai Medical Center, Los Angeles, CA, USA.
Andrew GoertzenDepartment of Nuclear Medicine, University of Manitoba, 820 Sherbrook Street GC321, Winnipeg, MB, R3A 1R9, Canada.
William D LeslieDepartment of Nuclear Medicine, University of Manitoba, 820 Sherbrook Street GC321, Winnipeg, MB, R3A 1R9, Canada. bleslie@sbgh.mb.ca.
University of Manitoba · CACedars-Sinai Medical Center · US

Funding

Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CTR01HL089765 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2007 to 2021
$6.1M
NHLBI NIH HHS R01 HL089765
6 · The paper itself

Abstract

backgroundDetermining the risk of cardiovascular events is essential to optimize patient management. METHODS AND

results5842 individuals underwent SPECT myocardial perfusion imaging (MPI) with 4.4 ± 1.2 years of follow-up. Models (the CRAX tool) were derived to predict the cumulative risk of death and acute myocardial infarction (AMI) at 1, 3, and 5 years using clinical and MPI variables. Predictors of AMI and death included age, number of hospitalizations in the 3 years preceding MPI, and left ventricular ejection fraction (LVEF). Additional predictors of death were the use of pharmacological stress, and global stress total perfusion deficit (sTPD), while transient ischemic dilation (TID), and ischemic total perfusion deficit (iTPD) change were predictive of AMI. CRAX predictions were significantly (P < .001) more accurate than clinical variables or MPI results alone, resulting in a significant net reclassification improvement (NRI, 7.5% for AMI, 14.5% death) compared to clinical variables alone. Accuracy for predicting major adverse cardiac events (MACE, comprising all-cause death, AMI, unstable angina, late revascularization) was comparable to that of AMI or death.

conclusionsCRAX is a risk assessment tool that predicts the risk of AMI, death, or MACE, and improves prediction compared to clinical variables or MPI results alone.

Indexed as

Heart Disease Risk FactorsStroke VolumeVentricular Function, LeftAgedAngina, UnstableArea Under CurveDatabases, FactualDiagnosis, Computer-AssistedExercise TestFemaleHumansImage Processing, Computer-AssistedMaleManitobaMiddle AgedMyocardial Infarctionacute myocardial infarctiongated SPECTMyocardial perfusion imagingprognosis

Identifiers

PMID30535920
PMCPMC6565497
OpenAlexW2904319366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.