Evidence map›Paper›PMID 40382203›Full record

ReviewChinese journal of traumatology = Zhonghua chuang shang za zhi2026

Perspectives for using platelet-rich plasma in the treatment of knee osteoarthritis: Can it be improved through modifications of the protocol?

Mikhail S Bozhokin, Svetlana A Bozhkova, Julia V Sopova, Elena I Leonova, Maxim I Shubniakov, Aleksandr A Rubel, Mario Simental-Mendía

Abstract readReview
In one paragraph

Review in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2026. 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

7 authors.

Mikhail S BozhokinTreatment and Prevention of Wound Infection, Vreden National Medical Research Centre of Traumatology and Orthopedics, Saint Petersburg, 195427, Russia; Сenter of Cell Technologies, Institute of Cytology Russian Academy of Science, Saint Petersburg, 194064, Russia. Electronic address: writeback@mail.ru.
Svetlana A BozhkovaTreatment and Prevention of Wound Infection, Vreden National Medical Research Centre of Traumatology and Orthopedics, Saint Petersburg, 195427, Russia.
Julia V SopovaCenter of Transgenesis and Genome Editing, Saint Petersburg State University, Saint Petersburg, 198504, Russia; Laboratory of Plant Genetics and Biotechnology, Institute of General Genetics, St Petersburg Branch, Saint Petersburg, 198504, Russia.
Elena I LeonovaCenter of Transgenesis and Genome Editing, Saint Petersburg State University, Saint Petersburg, 198504, Russia.
Maxim I ShubniakovTreatment and Prevention of Wound Infection, Vreden National Medical Research Centre of Traumatology and Orthopedics, Saint Petersburg, 195427, Russia.
Aleksandr A RubelLaboratory of Amyloid Biology, Saint Petersburg State University, Saint Petersburg, 198504, Russia.
Mario Simental-MendíaOrthopedic Trauma Service, "Dr. José Eleuterio González" University Hospital, School of Medicine, Autonomous University of Nuevo Leon, Monterrey, 66455, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutologous platelet-rich plasma (PRP) injections are widely used in regenerative medicine, including the knee osteoarthritis (OA) therapy. This study reviewed methods to enhance PRP therapy for knee OA, aiming to boost articular cartilage recovery.

methodsThe search was conducted in the eLIBRARY, PubMed (MEDLINE), Ovid, ScienceDirect, and Google Scholar databases extracting publications available by the end of 2023. Studies were included if they simultaneously met the following criteria: (1) effect of using PRP in the recovery of hyaline cartilage damage after OA; (2) at least one way to modify the PRP protocol aimed to increase its efficiency; (3) data on the molecular mechanisms underlying the increase in efficiency of the modified PRP therapy in OA.

resultsThe findings of this study highlight the significant role that the composition and modification of PRP protocols play in enhancing chondrogenesis for cartilage repair. Beyond the activation or non-activation of platelets or the inclusion or removal of leukocytes, which are factors that could somehow affect the effectiveness of PRP formulations, the elimination of growth factors such as vascular endothelial growth factor and epidermal growth factor, which negatively influence cartilage regeneration, offers a promising approach to optimize PRP therapy. While growth factors like transforming growth factor-β3, platelet-derived growth factor, and insulin-like growth factor have been shown to promote chondrogenesis, the removal of detrimental factors that could contribute to chronic inflammation or OA progression could significantly improve treatment outcomes. Practices such as combining with hyaluronic acid, pre-injection PRP activation, and multiple administrations are clinically common, while other methods like adjusting growth factors concentration are still in development.

conclusionVarious modifications of this technology allow to use molecular mechanisms involved in the restoration of hyaline cartilage and improve the effectiveness of PRP for the treatment of OA. However, significant challenges remain in standardizing PRP preparation and administration protocols. Variability in platelet concentration, growth factor composition, and activation methods complicate the assessment of efficacy and reproducibility.

Indexed as

Osteoarthritis, KneePlatelet-Rich PlasmaCartilage, ArticularChondrogenesisHumansHyaline cartilageKneeModificationPlatelet-rich plasmaPRP

Identifiers

PMID40382203
PMCPMC12891854

What OpenQuestion holds

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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.