You are here

  • Home
  • Archive
  • Volume 50, Issue 15
  • Platelet-rich plasma injection is not more effective than hyaluronic acid to treat knee osteoarthritis when using a random-effects model

Article Text

Article menu
Download PDFPDF
PostScript
Correspondence
Platelet-rich plasma injection is not more effective than hyaluronic acid to treat knee osteoarthritis when using a random-effects model
  1. Zhicong Wang1,
  2. Yuehong Liu1,
  3. Mozhen Liu2
  1. 1Department of Orthopedic Surgery, Deyang People's Hospital, Deyang, China
  2. 2Department of Orthopedic Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, China
  1. Correspondence to Dr Mozhen Liu, Department of Orthopedic Surgery, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, China; mozhenliu{at}hotmail.com

https://doi.org/10.1136/bjsports-2015-095512

Statistics from Altmetric.com

    Request Permissions

    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

    In a recent meta-analysis by Laudy et al,1 the authors used a fixed-effects model when there was significant heterogeneity for Western Ontario and McMaster Universities Osteoarthritis (WOMAC) knee pain (refer to figure 11 of the article, χ2=17.12, I2=94%, p<0.0001) and WOMAC physical function (refer to figure 13 of the article, χ2=16.40, I2=94%, p<0.0001), and stated that platelet-rich plasma (PRP) reduced pain and improved function more effectively than hyaluronic acid (HA).

    Fixed-effects and random-effects models are the most commonly used statistical methods for meta-analysis, and systematic reviewers often need to choose one of the two models. In the presence of small heterogeneity, the fixed-effects model is more appropriate, while it inclines to the random-effects model when heterogeneity is large. Thus, dealing with heterogeneity is one of the most challenging tasks in meta-analysis.

    Although I2 statistics are considered good indicators for assessing heterogeneity,2 it has been found that the test has poor …

    View Full Text

    Footnotes

    • Contributors ZW and YL conducted the study, analysed the data, and wrote and submitted the manuscript. ML planned the study, analysed the data and corrected the manuscript.

    • Competing interests None declared.

    • Provenance and peer review Commissioned; externally peer reviewed.