ReviewSeminars in interventional radiology2025
Nerve Plexus Anatomy 101.
Review in Seminars in interventional radiology, 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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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nerve plexuses are complex networks of interwoven nerves in the peripheral nervous system. This article provides a comprehensive overview of the anatomy and function of the major nerve plexuses in the human body. The main spinal nerve plexuses-cervical, brachial, abdominal, lumbar, and sacral-are examined in detail, including their spinal origins, anatomical locations, and the areas they innervate. Understanding the intricate anatomy of nerve plexuses is essential for interventionalists, as it aids in the diagnosis and treatment of various neurological disorders affecting the peripheral nervous system.
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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.