ReviewJournal of clinical medicine2021
Advances in Diagnostic Imaging for Cardiac Sarcoidosis.
Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 18 citations in OpenAlex.
- The double threat: imaging manifestations of thoracic sarcoidosis with miliary nodules and myocardial involvement with radiologic-pathologic correlation.The international journal of cardiovascular imaging · 2026Article
- Diagnostic dilemma between probable cardiac sarcoidosis and non-granulomatous myocarditis: a grand round case report.European heart journal. Case reports · 2026Article
- Latest Management of Cardiac Sarcoidosis: A Comprehensive Review.Cardiology research and practice · 2026Review
- Granulomas in the Heart: Pathophysiology, Diagnosis, Management, and Outcomes in Cardiac Sarcoidosis.Cureus · 2026Review
- Multimodal Assessments of Cardiac Sarcoidosis With Right Ventricular Involvement.CASE (Philadelphia, Pa.) · 2025Article
- A Case Report: The Utility of Multimodality Imaging in the Diagnosis of Cardiac Sarcoidosis-Has It Surpassed the Need for a Biopsy?Reports (MDPI) · 2025Article
- Characterization of cardiac sarcoidosis in Iranian patients using cardiac magnetic resonance and positron emission tomography imaging techniques.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025Article
- Contemporary Diagnostics of Cardiac Sarcoidosis: The Importance of Multimodality Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- Typical trident sign and cardiac involvement in a patient suspected to Sarcoidosis despite negative whole-body FDG-PET: a case report.Journal of medical case reports · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sarcoidosis is a systemic granulomatous disease of unknown etiology, and its clinical presentation depends on the affected organ. Cardiac sarcoidosis (CS) is one of the leading causes of death among patients with sarcoidosis. The clinical manifestations of CS are heterogeneous, and range from asymptomatic to life-threatening arrhythmias and progressive heart failure due to the extent and location of granulomatous inflammation in the myocardium. Advances in imaging techniques have played a pivotal role in the evaluation of CS because histological diagnoses obtained by myocardial biopsy tend to have lower sensitivity. The diagnosis of CS is challenging, and several approaches, notably those using positron emission tomography and cardiac magnetic resonance imaging (MRI), have been reported. Delayed-enhanced computed tomography (CT) may also be used for diagnosing CS in patients with MRI-incompatible devices and allows acceptable evaluation of myocardial hyperenhancement in such patients. This article reviews the advances in imaging techniques for the evaluation of CS.
Indexed as
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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.