Evidence map›Paper›PMID 33579329›Full record

ReviewJournal of hematology & oncology2021

Challenges and advances in clinical applications of mesenchymal stromal cells.

Tian Zhou, Zenan Yuan, Jianyu Weng, Duanqing Pei, Xin Du, Chang He, Peilong Lai

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06492798 (Effectiveness and Safety of Mesenchymal Stem Cell Therapy in Long COVID Patients), which is not on this map. Cited by 435 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
435citing papers in PubMed, 3 pooled it
58.3field-weighted citation impact, top 1% 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.

NCT06492798 phase1 / phase2recruitingnot on this mapstarted 2023, after this paper: background citation

Effectiveness and Safety of Mesenchymal Stem Cell Therapy in Long COVID Patients

TypeinterventionalSponsorChanghai HospitalRan2023 to 2026Enrolled76ConditionsLong COVID, Post-Acute COVID-19 SyndromeArmsumbilical cord mesenchymal stem cell
3 · Its place in the literature

Who cites it

435 citing papers in PubMed, 3 syntheses or guidelines pooled it, 662 citations in OpenAlex.

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375 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Tian ZhouDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Zenan YuanDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China.
Jianyu WengDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Duanqing PeiGuangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Guangzhou, 510530, People's Republic of China.
Xin DuDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China. miyadu@hotmail.com.
Chang HeState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, 510060, People's Republic of China. hech33@mail.sysu.edu.cn.
Peilong LaiDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China. lai_peilong@163.com.ORCID 0000-0003-0256-1082
Guangdong Academy of Medical Sciences · CNSun Yat-sen University · CNChinese Academy of Sciences · CN

Funding

National Key Research and Development Project of China 2017YFE0131600National Natural Science Foundation of China 81671585National Natural Science Foundation of China 81700825National Natural Science Foundation of China 81870121National Natural Science Foundation of China 82070176Natural Science Foundation of Guangdong Province 2019B020236004Natural Science Foundation of Guangdong Province 2019B151502006Science and Technology Planning Project of Guangdong Province 2017B020230004Science and Technology Program of Guangzhou 201803040005Science and Technology Program of Guangzhou 201906010076
6 · The paper itself

Abstract

Mesenchymal stromal cells (MSCs), also known as mesenchymal stem cells, have been intensely investigated for clinical applications within the last decades. However, the majority of registered clinical trials applying MSC therapy for diverse human diseases have fallen short of expectations, despite the encouraging pre-clinical outcomes in varied animal disease models. This can be attributable to inconsistent criteria for MSCs identity across studies and their inherited heterogeneity. Nowadays, with the emergence of advanced biological techniques and substantial improvements in bio-engineered materials, strategies have been developed to overcome clinical challenges in MSC application. Here in this review, we will discuss the major challenges of MSC therapies in clinical application, the factors impacting the diversity of MSCs, the potential approaches that modify MSC products with the highest therapeutic potential, and finally the usage of MSCs for COVID-19 pandemic disease.

Indexed as

Mesenchymal Stem Cell TransplantationAnimalsArtificial IntelligenceCell DifferentiationCell MovementClinical Trials as TopicCOVID-19CRISPR-Cas SystemsExtracellular VesiclesGenetic EngineeringHumansMesenchymal Stem CellsArtificial intelligence (AI)Clinical applicationsCOVID-19Extracellular vesiclesHeterogeneityMesenchymal stromal cells

Identifiers

PMID33579329
PMCPMC7880217
OpenAlexW3127853020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.