ArticleCirculation. Cardiovascular imaging2018
Prevalent Cardiovascular Disease Events and T1 Mapping Defined Hepatic Fibrosis.
Article in Circulation. Cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Association between CMR-derived hepatic T1-time, tricuspid regurgitation and survival.European journal of clinical investigation · 2026Article
- MRI-derived extracellular volume to assess liver fibrosis in patients with metabolic-associated steatotic liver disease.Abdominal radiology (New York) · 2025Article
- How Cardiac Fibrosis Assessed via T1 Mapping Is Associated with Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease.Journal of clinical medicine · 2023Article
- Article
- Comparison of Hepatic Tissue Characterization between T1-Mapping and Non-Contrast Computed Tomography.Journal of clinical medicine · 2022Article
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Authors and funding
2 authors.
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Abstract
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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.