Evidence map›Paper›PMID 34650733›Full record

ArticleAmerican journal of translational research2021

Effects of alteplase on neurological deficits and expression of GFAP and GAP-43 in brain tissue of rats with acute cerebral infarction.

Dongping Chen, Shuhong Hou, Yangui Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Dongping ChenDepartment of Neurology, The Affiliated Longyan First Hospital of Fujian Medical University Longyan 364000, Fujian Province, China.
Shuhong HouDepartment of Function, The Affiliated Longyan First Hospital of Fujian Medical University Longyan 364000, Fujian Province, China.
Yangui ChenDepartment of Neurology, The Affiliated Longyan First Hospital of Fujian Medical University Longyan 364000, Fujian Province, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effects of alteplase on neurological deficits, as well as on the expressions of glial fibrillary acidic protein (GFAP) and growth-associated protein-43 (GAP-43) in brain tissues of rats with acute cerebral infarction (ACI).

methodsSprague Dawley (SD) rats (n = 50) were enrolled in a trial to establish a ACI rat model; of these, 48 rats were succeeefully modeled and were randomized into either the model or alteplase group, whereas another 24 SD rats were included in the sham-operated group.

findingsNo significant difference in scores was observed between the model and alteplase groups at T1 (P > 0.05); however, rats in the alteplase group demonstrated lower scores than those in the model group at T2, T3, and T4 (P < 0.05). Rats in the model group showed a larger cerebral infarction volume than those in the alteplase group (P < 0.05), and the infarction volume on day 1, 3, 6, and 9 was higher in rats in the alteplase group than those in the sham-operated group (P < 0.05).

conclusionTreatment with alteplase can be effective in reducing cerebral infarction volume and moderating neurological deficits in ACI modeled rats within a 6-h time window, which may be correlated with the regulation of GFAP and GAP-43 expressions by alteplase.

Indexed as

acute cerebral infarctionAlteplaseGAP-43GFAP

Identifiers

PMID34650733
PMCPMC8507047
OpenAlexW3206037155

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.