ArticleThe Indian journal of radiology & imaging2025
Comprehensive Guide to Randomized Controlled Trials in Radiology: Everything You Need to Know.
Article in The Indian journal of radiology & imaging, 2025. 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.
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Authors and funding
2 authors.
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Abstract
Evidence-based medicine integrates clinical research, personal expertise, and patient values. The most robust forms of clinical evidence, such as randomized controlled trials (RCTs) and prospective studies, provide the strongest support for medical decision-making. RCTs are vital in radiology for evaluating new imaging technologies, contrast agents, and therapeutic procedures, despite challenges in translating preclinical findings to clinical practice. This guide discusses the history, principles, methodologies, and applications of RCTs in radiology, highlighting their role in advancing the field and supporting evidence-based practice.
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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.