Evidence map›Paper›PMID 36879794›Full record

ArticleJournal of orthopaedic translation2023

Exosomes from CD133

Xiaopeng Tong, Yan Xu, Tao Zhang, Chao Deng, Jinrui Xun, Deyi Sun, Daqi Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of orthopaedic translation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  7. Exosomes from CD133Journal of translational medicine · 2025
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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.

Xiaopeng TongDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Yan XuDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Tao ZhangDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Chao DengKey Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, 410008, China.
Jinrui XunDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Deyi SunDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Daqi XuDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Soil and Fertilizer Institute of Hunan Province · CNCentral South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The inadequate regeneration of natural tissue (mainly fibrocartilage) between tendon and bone during rotator cuff (RC) repair results in an unsatisfactory quality of RC healing. Cell-free therapy based on stem cell exosomes is a safer and more promising approach for tissue regeneration. Here, we investigated the effect of exosomes from human urine-derived stem cells (USCs) and their subpopulations (CD133 Methods: USCs were isolated from urine and sorted by flow cytometry to obtain CD133 Results: CD133 Conclusion: CD133 The translational potential of this article: This is the first study to assess the specific role of CD133

Indexed as

Bone marrow mesenchymal stem cellBone-tendon interfaceCD133+ urine-derived stem cell exosomeChondrogenic differentiationHydrogelRotator cuff healing

Identifiers

PMID36879794
PMCPMC9984782
OpenAlexW4322012893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.