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Review
. 2022 Oct 19;9(10):580.
doi: 10.3390/bioengineering9100580.

The Top 100 Most Cited Articles on Platelet-Rich Plasma Use in Regenerative Medicine-A Bibliometric Analysis-From the ESSKA Orthobiologic Initiative

Anouck Coulange Zavarro  1 , Laura De Girolamo  2 , Lior Laver  3   4   5 , Mikel Sánchez  6   7 , Thomas Tischer  8 , Giuseppe Filardo  9   10   11 , Florence Sabatier  1   12   13 , Jérémy Magalon  1   12   13
Affiliations
Review

The Top 100 Most Cited Articles on Platelet-Rich Plasma Use in Regenerative Medicine-A Bibliometric Analysis-From the ESSKA Orthobiologic Initiative

Anouck Coulange Zavarro et al. Bioengineering (Basel). .

Abstract

Over the past few decades, more and more articles about platelet-rich plasma (PRP) use in regenerative medicine have been published. The aim of this study was to determine which articles have been most influential in this field by identifying and analyzing the characteristics of the 100 most cited articles. Articles on the use of PRP in regenerative medicine were identified via the Thomson ISI Web of Science database. A majority of the articles originated from the USA (36%). The top journal in terms of number of articles was American Journal of Sports Medicine (12%). Musculoskeletal system and orthopedics (54%) were the most popular fields of applications. Preclinical studies were the most represented study type, from which only 8 from 46 (17.4%) provided a complete numerical description of the injected product. Analysis showed a time-dependent trend of increasing quality of the clinical studies (p = 0.004), although none of them provided a complete biological characterization of the injected PRP. This study demonstrated that the use of PRP in regenerative medicine is a growing and popular area of research, mainly focused on orthopedic applications. Studies on PRP-derived exosomes, biological characterization, and correlation with clinical results might be areas of future trends.

Keywords: bibliometric analysis; plasma rich in growth factors; platelet-rich plasma; regenerative medicine.

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Conflict of interest statement

Jeremy Magalon received an honorarium for educational support from FIDIA, HORIBA ARTHREX, and MACOPHARMA. Laura De Girolamo is a paid consultant for LIPOGEMS. These manufacturers had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
Flowchart illustrating the procedure of allocation of articles.
Figure 2
Figure 2
Time-dependent average citation per year trend from 1998 to 2017. The Mann–Kendall trend test showed an increasing trend between citation density and time (p ≤ 0.0001).
Figure 3
Figure 3
Geographic distribution of the top 100 most cited articles.
Figure 4
Figure 4
Institutional/corporate distribution of articles. Bar graph showing the median number of citations (and maximum) for the most-cited articles according to the institutional/corporate distribution of articles (number of articles at the bottom of the bar). BTI, Biotechnology Institute; J, Johannes; LA, Los Angeles.
Figure 5
Figure 5
Theme distribution of articles. Bar graph showing the median number of citations (and maximum) for the most-cited articles according to the theme distribution of articles (number of articles at the bottom of the bar).
Figure 6
Figure 6
Type distribution of articles. Bar graph showing the median number of citations (and maximum) for the most-cited articles according to the article type distribution of articles (number of articles at the bottom of the bar). * The Kruskal–Wallis test showed significant difference in citations per article among the various types of articles (p < 0.05).
Figure 7
Figure 7
Study design of clinical studies in the top 100 by year of publication.
Figure 8
Figure 8
Median and maximum citation per article based on level of evidence. A bar graph showing the median number of citations (and maximum) for the most-cited articles according to level of evidence of articles (number of articles at the bottom of the bar).
Figure 9
Figure 9
Time-dependent trend of clinical studies modified Coleman methodology score (CMS) from 1998 to 2017. The Mann–Kendall test showed an increasing trend between the modified CMS and time (p = 0.004).
See this image and copyright information in PMC

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