Evidence map›Paper›PMID 25366597›Full record

ReviewActa neurochirurgica. Supplement2015

Neurovascular events after subarachnoid hemorrhage: focusing on subcellular organelles.

Sheng Chen, Haijian Wu, Jiping Tang, Jianmin Zhang, John H Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Acta neurochirurgica. Supplement, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Sheng ChenDepartment of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Haijian Wu
Jiping Tang
Jianmin Zhang
John H Zhang
Loma Linda University · USSecond Affiliated Hospital of Zhejiang University · CN

Funding

Neurovascular Protection for Subarachnoid HemorrhageR01NS053407 · NINDS · LOMA LINDA UNIVERSITY · PI ZHANG, JOHN H · 2006 to 2010
$1.8M
Neurovascular Protection for Early Brain Injury after SAHR01NS081740 · NINDS · LOMA LINDA UNIVERSITY · PI ZHANG, JOHN H · 2013 to 2017
$1.6M
NINDS NIH HHS NS053407NINDS NIH HHS R01 NS053407NINDS NIH HHS R01 NS081740
6 · The paper itself

Abstract

Subarachnoid hemorrhage (SAH) is a devastating condition with high morbidity and mortality rates due to the lack of effective therapy. Early brain injury (EBI) and cerebral vasospasm (CVS) are the two most important pathophysiological mechanisms for brain injury and poor outcomes for patients with SAH. CVS has traditionally been considered the sole cause of delayed ischemic neurological deficits after SAH. However, the failure of antivasospastic therapy in patients with SAH supported changing the research target from CVS to other mechanisms. Currently, more attention has been focused on global brain injury within 3 days after ictus, designated as EBI. The dysfunction of subcellular organelles, such as endoplasmic reticulum stress, mitochondrial failure, and autophagy-lysosomal system activation, has developed during EBI and delayed brain injury after SAH. To our knowledge, there is a lack of review articles addressing the direction of organelle dysfunction after SAH. In this review, we discuss the roles of organelle dysfunction in the pathogenesis of SAH and present the opportunity to develop novel therapeutic strategies of SAH via modulating the functions of organelles.

Indexed as

Brain InjuriesHumansOrganellesSignal TransductionSubarachnoid HemorrhageVasospasm, Intracranial

Identifiers

PMID25366597
PMCPMC4373344
OpenAlexW2161108540

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.