Evidence map›Paper›PMID 41025100›Full record

ArticleWorld journal of stem cells2025

Combined mesenchymal and neural stem cell therapy enhances neurological recovery in cerebral infarction.

Ting Yang, Hui Yu, Dong Han, Zheng Xie

Abstract read
In one paragraph

Article in World journal of stem cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Ting YangDepartment of Emergency, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China.
Hui YuDepartment of Emergency, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China. yuhuiyh56@163.com.
Dong HanDepartment of Emergency, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China.
Zheng XieDepartment of Emergency, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute cerebral infarction (ACI), a leading cause of death and disability, causes brain ischemia due to vessel blockage. Current time-limited interventions, such as clot removal, often fail to restore full function. Neurorestoration is vital, but complicated. Vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) promote angiogenesis and neuroprotection. Stem cell therapy has potential to promote neurorestoration. Specifically, neural stem cells (NSC) reconstruct neural tissue, while mesenchymal stem cells (MSCs) provide support and secrete beneficial factors. Combining NSCs and MSCs in stem cell therapy may synergistically enhance ACI recovery, potentially

aimTo investigate the therapeutic effect of combined NSC and MSC transplantation on neurological recovery and bFGF/VEGF expression in ACI patients.

methodsThis study enrolled 156 patients with ACI treated from June 2022 to June 2023. Patients were randomly assigned to two groups: The control group (

resultsSerum VEGF and bFGF levels negatively correlated with NIHSS scores in patients with ACI (

conclusionNSC-MSC combination therapy enhances neurological function and cerebral perfusion in patients with ACI by upregulating VEGF and bFGF expression, demonstrating favorable clinical efficacy and safety.

Indexed as

Acute cerebral infarctionBasic fibroblast growth factorMesenchymal stem cellsNeural stem cellsNeurological functionVascular endothelial growth factor

Identifiers

PMID41025100
PMCPMC12476813

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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.