ReviewJournal of cardiovascular translational research2026
Small Animal Models for Translational Research in Atrial Fibrillation.
Review in Journal of cardiovascular translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Atrial fibrillation (AF) is a common arrhythmia with significant morbidity and mortality, making it essential to conduct in-depth research on its mechanisms and treatments. Animal models are important tools in AF research because they can replicate the key pathophysiological features observed in human AF. This review summarizes various small animal models of AF, focusing on the construction methods of different models, the induction techniques for AF, and the corresponding induction rates, which provide important support for studying the mechanisms of AF and evaluating pharmacological efficacy.
Indexed as
Identifiers
42474660What 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.