ReviewAustralian prescriber2017
The role of cardiac imaging in clinical practice.
Review in Australian prescriber, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Drivers and potential mitigation solutions for low-value medical imaging in Iran: a qualitative study.BMJ open · 2026Article
- Predicting Cardiac Magnetic Resonance-Derived Ejection Fraction from Echocardiogram Via Deep Learning Approach in Tetralogy of Fallot.Pediatric cardiology · 2026Article
- Initial experience with remote MRI scanning support in an oncology focused practice: Opportunities for expanded access to radiology care.Journal of applied clinical medical physics · 2026Article
- Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment.Scientific reports · 2024Article
- Combining generative modelling and semi-supervised domain adaptation for whole heart cardiovascular magnetic resonance angiography segmentation.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- The Use of Artificial Intelligence for Detecting and Predicting Atrial Arrhythmias Post Catheter Ablation.Reviews in cardiovascular medicine · 2023Review
- Interpretable cardiac anatomy modeling using variational mesh autoencoders.Frontiers in cardiovascular medicine · 2022Article
- Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology.Frontiers in physiology · 2022Article
- Cardiac multi-scale investigation of the right and left ventricleCardiovascular diagnosis and therapy · 2020Review
- Deep Learning-based Prescription of Cardiac MRI Planes.Radiology. Artificial intelligence · 2019Article
- Indications for echocardiography and confirmation rates of cardiovascular diseases: experience of a specialist cardiac outpatient clinic in Kumasi, Ghana.Annals of African medicineArticle
- Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.