Evidence map›Paper›PMID 37691194›Full record

ReviewCurrent stem cell research & therapy2024

Advancements in Autologous Stem Cell Transplantation for Parkinson's Disease.

Jia-Xin Shi, Ke-Zhong Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current stem cell research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

2 authors at 1 institution in 1 country.

Jia-Xin ShiDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0001-6842-4211
Ke-Zhong ZhangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-4437-1095
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disease marked by comparatively focal dopaminergic neuron degeneration in the substantia nigra of the midbrain and dopamine loss in the striatum, which causes motor and non-motor symptoms. Currently, pharmacological therapy and deep brain stimulation (DBS) are the primary treatment modalities for PD in clinical practice. While these approaches offer temporary symptom control, they do not address the underlying neurodegenerative process, and complications often arise. Stem cell replacement therapy is anticipated to prevent further progression of the disease due to its regenerative capacity, and considering the cost of immunosuppression and the potential immune dysfunctions, autologous stem cell transplantation holds promise as a significant method against allogeneic one to treat Parkinson's disease. In this review, the safety concerns surrounding tumorigenicity and complications associated with transplantation are discussed, along with methods utilized to evaluate the efficacy of such procedures. Subsequently, we summarize the preclinical and clinical studies involving autologous stem cell transplantation for PD, and finally talk about the benefits of autologous stem cell transplantation against allogeneic transplants.

Indexed as

Parkinson DiseaseStem Cell TransplantationTransplantation, AutologousClinical Trials as TopicHumansInduced Pluripotent Stem CellsMesenchymal Stem CellsNeural Stem CellsTransplantation, HomologousAutologous stem cellDBS.iPSCMSCneurodegenerative diseaseParkinson’s disease

Identifiers

PMID37691194
OpenAlexW4386593524

What OpenQuestion holds

Textmetadata
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.