Evidence map›Paper›PMID 30804235›Full record

ArticleNeural regeneration research2019

Exogenous neural stem cell transplantation for cerebral ischemia.

Ling-Yi Liao, Benson Wui-Man Lau, Dalinda Isabel Sánchez-Vidaña, Qiang Gao

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 56 citations in OpenAlex.

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  19. Therapeutic implications of transplanted-cell death.Nature biomedical engineering · 2021
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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

4 authors at 2 institutions in 2 countries.

Ling-Yi LiaoDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Benson Wui-Man LauDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China.
Dalinda Isabel Sánchez-VidañaDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China.
Qiang GaoDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China.
Hong Kong Polytechnic University · HKSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral ischemic injury is the main manifestation of stroke, and its incidence in stroke patients is 70-80%. Although ischemic stroke can be treated with tissue-type plasminogen activator, its time window of effectiveness is narrow. Therefore, the incidence of paralysis, hypoesthesia, aphasia, dysphagia, and cognitive impairment caused by cerebral ischemia is high. Nerve tissue regeneration can promote the recovery of the aforementioned dysfunction. Neural stem cells can participate in the reconstruction of the damaged nervous system and promote the recovery of nervous function during self-repair of damaged brain tissue. Neural stem cell transplantation for ischemic stroke has been a hot topic for more than 10 years. This review discusses the treatment of ischemic stroke with neural stem cells, as well as the mechanisms of their involvement in stroke treatment.

Indexed as

cell transplantationcerebral ischemiafunctional recoveryischemic strokenerve regenerationneural regenerationneural stem cellsneuroplasticitystem cell therapy

Identifiers

PMID30804235
PMCPMC6425845
OpenAlexW2917730449

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.