Evidence map›Paper›PMID 33594303›Full record

ReviewAmerican journal of translational research2021

Mesenchymal stem cells in osteoarthritis therapy: a review.

Chongtao Zhu, Wei Wu, Xiaowen Qu

Open access · greenAbstract readReview
PubMed Full text at PMC
In one paragraph

Review 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 73 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 6 pooled it
12.4field-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.

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

73 citing papers in PubMed, 6 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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13 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

3 authors at 2 institutions in 1 country.

Chongtao ZhuLaser Medical Center, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology No. 157 Jinbi Road, Kunming 650032, Yunnan, China.
Wei WuCollege of Food Science and Engineering, Qingdao Agricultural University No. 700 Changcheng Road, Qingdao 266109, Shandong, China.
Xiaowen QuLaser Medical Center, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology No. 157 Jinbi Road, Kunming 650032, Yunnan, China.
Kunming Medical University · CNQingdao Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic joint disease that generally occurs worldwide with pain and disability. The progression is slow, and it is mostly diagnosed midlife and often disturbs the knees, hips, feet, hands, and spine. Sex, age, obesity, occupation, and hereditary factors are risk factors that increase the opportunity for OA. Physical examinations involving X-rays and MRI, joint fluid analysis and blood tests are common tools for the diagnosis of OA. Interventions including exercise, manual therapy, lifestyle modification, and medication can help relieve pain and maintain mobility in the affected joints, yet none of the therapies enables the promotion of regeneration of degenerated tissues. Mesenchymal stem cells (MSCs) are a promising source for the treatment of OA due to their multipotency for differentiation into chondrocytes and their ability to modulate the immune system. Herein, we review the pathogenesis and treatment of OA and address the current status of MSCs as a novel potential therapeutic agent in OA treatment.

Indexed as

cell regenerationimmune systemMesenchymal stem cellosteoarthritis

Identifiers

PMID33594303
PMCPMC7868850
OpenAlexW3129994923

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.