Evidence map›Paper›PMID 40214977›Full record

ReviewThe Journal of physiology2025

Stem cell approaches for tendon repair: delusion or insight.

Saswati Kar, Enhao Zhang, Angel Moonilall, Dylan Gordon, Fei Fang

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2025. 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

5 authors.

Saswati KarLeni & Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-5284-1619
Enhao ZhangLeni & Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Angel MoonilallLeni & Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Dylan GordonLeni & Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Fei FangLeni & Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-6706-6886

Funding

Mechanisms of Primary Cilia Regulating Tendon Enthesis Development and RegenerationR01AR082797 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI James C. Iatridis · 2023 to 2026
$2.2M
NIAMS NIH HHS R01 AR082797
6 · The paper itself

Abstract

Tendon injuries are a common and significant health burden around the world. Current treatment strategies are unable to fully restore tendon structure and function. To address these critical clinical needs, stem cell therapy has recently emerged as a promising approach for better tendon repair. In this review, we discuss treatment efficacy of stem cell therapy in tendon repair by summarizing its advantages and disadvantages in both the preclinical and clinical settings. We highlight recent advances in improving stem cell-based treatment, with a focus on research efforts in identification of appropriate cell sources, cell modification for effective transplantation, development of appropriate cell carriers, and standardization of treatment protocols. Finally, we provide insights into future directions for stem cell therapy, with emphasis on the necessity of employing effective patient screening criteria before treatment and establishing comprehensive outcome measurements to ensure rigor and efficacy in clinical trials.

Indexed as

Stem Cell TransplantationTendon InjuriesTendonsAnimalsHumansclinical applicationoutcome measurementstem cell therapytendon diseases

Identifiers

PMID40214977
PMCPMC13271523

What OpenQuestion holds

Textmetadata
LicenceTDM
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.