ReviewJACC. Cardiovascular imaging2015
Value of Exercise ECG for Risk Stratification in Suspected or Known CAD in the Era of Advanced Imaging Technologies.
Review in JACC. Cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 101 citations in OpenAlex.
- Pooled it
- Brazilian Guideline for Exercise Testing in Children and Adolescents - 2024.Arquivos brasileiros de cardiologia · 2024Guideline
- Brazilian Guideline for Exercise Test in the Adult Population - 2024.Arquivos brasileiros de cardiologia · 2024Guideline
- Baseline Characteristics and Risk Profiles of Participants in the ISCHEMIA Randomized Clinical Trial.JAMA cardiology · 2019Trial
- CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation.medRxiv : the preprint server for health sciences · 2026Article
- AI approaches for predicting progression to acute coronary syndrome among stable coronary heart disease patients.NPJ cardiovascular health · 2025Article
- ISENet: a deep learning model for detecting ischemic ST changes in long-term ECG monitoring.Medical & biological engineering & computing · 2025Article
- Association of myocardial bridging with exercise-induced ischemia in patients without obstructive coronary artery disease.The international journal of cardiovascular imaging · 2025Article
- Enhancement of Stress ECG Performance with Machine Learning: A Single-Center Study.JACC. Advances · 2025Article
- Article
- Incidence and Prognostic Significance of Silent Coronary Disease in Asymptomatic Patients with Severe Aortic Stenosis.Medicina (Kaunas, Lithuania) · 2024Article
- Machine learning in cardiac stress test interpretation: a systematic review.European heart journal. Digital health · 2024Review
- Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning.Nature communications · 2024Article
- Relevance of the Get Active Questionnaire for Pre-Participation Exercise Screening in the General Population in a Tropical Environment.Healthcare (Basel, Switzerland) · 2024Review
- Prognostic value of peak work rate indexed by left ventricular diameter.Scientific reports · 2023Article
- Incremental Value of Exercise ECG to Myocardial Perfusion Single-Photon Emission Computed Tomography for Prediction of Cardiac Events.Journal of the American Heart Association · 2023Article
- The incremental significance of heart rate recovery as a predictor during exercise-stress myocardial perfusion SPECT imaging in individuals with suspected coronary artery disease.Frontiers in cardiovascular medicine · 2023Article
- Cardiac exercise imaging using a 3-tesla magnetic resonance-conditional pedal ergometer: Preliminary results in healthy volunteers and patients with known or suspected coronary artery disease.Cardiology journal · 2023Article
- The Application of Conditional Probability to Harmonize Nuclear Cardiology Test Results.Annals of nuclear cardiology · 2023Article
- Abnormal vasodilator stress electrocardiogram with normal myocardial perfusion: Clinical decision-making and review of literature.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Exercise stress electrocardiography (ExECG) is underutilized as the initial test modality in patients with interpretable electrocardiograms who are able to exercise. Although stress myocardial imaging techniques provide valuable diagnostic and prognostic information, variables derived from ExECG can yield substantial data for risk stratification, either supplementary to imaging variables or without concurrent imaging. In addition to exercise-induced ischemic ST-segment depression, such markers as ST-segment elevation in lead aVR, abnormal heart rate recovery post-exercise, failure to achieve target heart rate, and poor exercise capacity improve risk stratification of ExECG. For example, patients achieving ≥10 metabolic equivalents on ExECG have a very low prevalence of inducible ischemia and an excellent prognosis. In contrast, cardiac imaging techniques add diagnostic and prognostic value in higher-risk populations (e.g., poor functional capacity, diabetes, or chronic kidney disease). Optimal test selection for symptomatic patients with suspected coronary artery disease requires a patient-centered approach factoring in the risk/benefit ratio and cost-effectiveness.
Indexed as
Identifiers
What OpenQuestion holds
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.