reference/35682319

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35682319

Outgoing Links

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contentType	Observational Study\|Journal Article\|Research Support, Non-U.S. Gov't
endingPage	3578
issn	1755-5949 1755-5930
issueIdentifier	11
pageRange	3567-3578
publicationName	CNS Neuroscience & Therapeutics
startingPage	3567
bibliographicCitation	Li S, Zhang J, Li N, Wang D, Zhao X. Predictive nomogram models for unfavorable prognosis after aneurysmal subarachnoid hemorrhage: Analysis from a prospective, observational cohort in China. CNS Neurosci Ther. 2023 Nov;29(11):3567–78. PMID: 37287438; PMCID: PMC10580355.
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date	2023-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC10580355 https://pubmed.ncbi.nlm.nih.gov/37287438 https://doi.org/10.1111/cns.14288
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Predictive nomogram models for unfavorable prognosis after aneurysmal subarachnoid hemorrhage: Analysis from a prospective, observational cohort in China
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Total number of triples: 37.