Evidence map›Paper›PMID 37122360›Full record

ReviewRegenerative therapy2023

Clinical results of neurorestorative cell therapies and therapeutic indications according to cellular bio-proprieties.

Hongyun Huang, Paul R Sanberg, Gustavo A Moviglia, Alok Sharma, Lin Chen, Di Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Regenerative therapy, 2023. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Hongyun HuangBeijing Hongtianji Neuroscience Academy, Beijing 100143, China.
Paul R SanbergCenter of Excellence for Aging & Brain Repair, Department of Neurosurgery & Brain Repair, Morsani College of Medicine, University of South Florida, Tampa 33612, Florida, USA.
Gustavo A MovigliaWake Forest Institute for Regenerative Medicine, Winston Salem, USA.
Alok SharmaDepartment of Neurosurgery, LTM Medical College, LTMG Hospital, Mumbai, India.
Lin ChenDepartment of Neurosurgery, Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing 100700, China.
Di ChenBeijing Hongtianji Neuroscience Academy, Beijing 100143, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell therapies have been explored to treat patients with nervous diseases for over 20 years. Even though most kinds of cell therapies demonstrated neurorestorative effects in non-randomized clinical trials; the effects of the majority type cells could not be confirmed by randomized controlled trials. In this review, clinical therapeutic results of neurorestorative cell therapies according to cellular bio-proprieties or cellular functions were introduced. Currently it was demonstrated from analysis of this review that some indications of cell therapies were not appropriate, they might be reasons why their neurorestorative effects could not be proved by multicenter, randomized, double blind, placebo-controlled clinical trials. Theoretically if one kind of cell therapy has neurorestorative effects according to its cellular bio-proprieties, it should have appropriate indications. The cell therapies with special bio-properties is promising if the indication selections are appropriate, such as olfactory ensheathing cells for chronic ischemic stroke, and their neurorestorative effects can be confirmed by higher level clinical trials of evidence-based medicine.

Indexed as

Cell therapyClinical trialsEvidence-based medicineNervous diseasesNeurorestoration

Identifiers

PMID37122360
PMCPMC10130496

What OpenQuestion holds

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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.