ReviewRadiologie (Heidelberg, Germany)2023
[Pediatric spinal tumors].
Review in Radiologie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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, 2 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric spinal tumors are rare and manifest frequently with unspecific symptoms, frequently resulting in delayed diagnosis. Many spinal tumor entities in children and adults are similar, but the lesions demonstrate a different prevalence and sometimes a different molecular genetic profile in children. For radiological evaluation of spinal tumor lesions, it is helpful to define the affected anatomical compartment. Important intradural pediatric tumor entities are astrocytomas, ependymomas, nerve sheath tumors, and liquorgenic metastases of intracranial neoplasms. Extradural masses are mostly primary tumors originating from osseous elements of the spine. Bone metastases are rare in children and can occur, for example, in neuroblastoma. Magnetic resonance imaging (MRI) is the most important noninvasive method for radiological spinal tumor evaluation.
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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.