Statistical analysis of outcomes of basivertebral nerve radiofrequency ablation for vertebrogenic chronic low back pain management

Yerkin Abdildin, Dastan Kaldybayev, Meiram Tungushpayev, Dmitriy Viderman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the era of office work, many people suffer from chronic low back pain (CLBP). Intra-osseous basivertebral nerve radiofrequency ablation (BVN RFA) is considered a way to treat vertebrogenic CLBP. However, the BVN RFA was not well studied. Using PubMed, Scopus, Google Scholar, and the Cochrane Library, we found four studies of BVN RFA from the US and performed a statistical analysis of its effect on CLBP. We compared the sample statistics of the studies on pain intensity and LBP-related disability both in pre- and postoperative stages in two groups: treatment and control. Using the RevMan v. 5.4 software, we calculated the mean difference (MD) for each outcome between the groups and constructed forest plots. On a 0-10 pain scale, our results showed the postoperative pain intensity reduction in the treatment group compared to the control group (MD with 95% CI is –1.63 [–2.91, –0.35], p-value = 0.01). There was a considerable improvement in disability index as well (MD with 95% CI is –10.36 [–22.87, 2.14] on a 0-50 scale, p-value = 0.10), but the result was not statistically significant. Our analysis concludes that the intra-osseous BVN RFA is effective in reducing vertebrogenic CLBP, but more randomized controlled trials would be beneficial to study the effect of BVN RFA in more detail.

Original languageEnglish
Title of host publicationSIST 2024 - 2024 IEEE 4th International Conference on Smart Information Systems and Technologies, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages159-163
Number of pages5
ISBN (Electronic)9798350374865
DOIs
Publication statusPublished - 2024
Event4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024 - Astana, Kazakhstan
Duration: May 15 2024May 17 2024

Publication series

NameSIST 2024 - 2024 IEEE 4th International Conference on Smart Information Systems and Technologies, Proceedings

Conference

Conference4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024
Country/TerritoryKazakhstan
CityAstana
Period5/15/245/17/24

Keywords

  • disability
  • medical decision making
  • meta-analysis
  • pain intensity score
  • radiofrequency ablation

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Control and Optimization
  • Instrumentation
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems

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