Evidence map›Paper›PMID 36330330›Full record

ArticleFrontiers in cell and developmental biology2022

Bibliometric analysis of research trends in stem cell therapy for knee osteoarthritis over the period 2001-2021.

Runzhi Chen, Yanyan Jiang, Laiya Lu, Pei Wang, Dongya Huang, Jingyi Wang, Zheng Liu, Shaojie Qin, Feng Yin

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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

9 authors.

Runzhi ChenSchool of Medicine, Tongji University, Shanghai, China.
Yanyan JiangDepartment of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Laiya LuSchool of Medicine, Tongji University, Shanghai, China.
Pei WangSchool of Medicine, Tongji University, Shanghai, China.
Dongya HuangDepartment of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Jingyi WangSchool of Medicine, Tongji University, Shanghai, China.
Zheng LiuDepartment of Joint Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Shaojie QinDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Feng YinDepartment of Joint Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell therapy is a promising treatment for knee osteoarthritis, but few bibliometric studies have been performed on the subject. Bibliometric analysis is helpful for identifying the most influential studies in a specific field and can evaluate the global research trends in stem cell therapy for knee osteoarthritis. The Web of Science Core Collection was searched for publications from 2001 to 2021. Publication performance was analyzed using several bibliometric parameters, including VOSviewer, to identify the research landscape of trends in topics, and CiteSpace was investigated to identify the keywords that have the strongest citation bursts. From 2001 to 2021, in total, 1,345 publications explored the research on stem cells in knee osteoarthritis. The United States contributed the largest number of publications and at the top list of international collaborations. Tokyo Medical and Dental University ranked first among institutions in the overall number of articles and citations. The journal of

Indexed as

bibliometric analysishotspotknee osteoarthritisstem cellsVOSviewer

Identifiers

PMID36330330
PMCPMC9623163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.