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Dataset related to article "Diagnosis of Ventriculoperitoneal Shunt Malfunction: A Practical Algorithm"

Research datakeyboard_double_arrow_right Dataset 02 Apr 2021 Italian Publisher:Zenodo

Authors: Acerbi, Francesco; Broggi, Morgan; Falco, Jacopo; Faragò, Giuseppe; Ferroli, Paolo; Schiariti, Marco; Tringali, Giovanni; +2 Authors

doi: 10.5281/zenodo.4659923 , 10.5281/zenodo.4659924

Dataset related to article "Diagnosis of Ventriculoperitoneal Shunt Malfunction: A Practical Algorithm"

- Summary
- Subjects
- Related research
  (2)
- Metrics

Abstract

database containing anonymised clinical information about a study aimed to present a practical method to accurately diagnose ventriculoperitoneal shunt (VPS) malfunction and to detect the exact level at which the system has failed to tailor VPS revision at that level only.

Study received the support of Italian Ministry of Health (program RC2020)

Related Organizations

Istituto Neurologico Carlo Besta
Italy

Keywords

CSF shunt, Shunt malfunction, Ventriculoperitoneal shunt revision, Ventriculoperitoneal shunt, Hydrocephalus

2 Research products, page of 1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average