ReviewPediatric radiology2026
Detecting the drip: pediatric neuroradiologist guide to spinal CSF leaks.
Review in Pediatric radiology, 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric spinal CSF leaks are uncommon and encompass a spectrum of leak types with distinct imaging findings, diagnostic pathways, and treatment strategies. Brain and spine MRI guide the evaluation of suspected CSF leaks and the selection of advanced imaging techniques for precise leak localization. Leak types include dural tears, CSF-venous fistulas, and CSF-vascular malformation fistulas, each with distinct imaging and treatment considerations. This pictorial review illustrates the spectrum of pediatric spinal CSF leaks and provides a practical framework for their diagnosis and management.
Indexed as
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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.