Novel Prevention Approaches of Breast Cancer Surgery Related Complications: Systematic Review and Network Meta-Analysis

Asian Pac J Cancer Prev. 2024 Jan 1;25(1):9-23. doi: 10.31557/APJCP.2024.25.1.9.

Abstract

Background: Breast cancer surgery related complications are a complex condition influenced by interactions among nerve pathways and the physiological responses to breast surgery. The intensity of this complications displays substantial heterogeneity, dependent on individual patient characteristics, the extent of the surgical procedure performed, and various contributing factors.

Methods: A comprehensive search of electronic databases was conducted to identify relevant randomized controlled trials (RCTs) investigating interventions for post-mastectomy pain syndrome (PMPS). A network meta-analysis was performed to integrate direct and indirect evidence, enabling comparisons of multiple interventions across different outcome measures.

Results: The systematic search yielded a total of 26 RCTs investigating 4 groups of different interventions for PMPS. The interventions included pharmacological agents, nerve blocks, physical therapy, and anesthesia regimens. Nerve blocks (OR: 0.34; 95% CrI: 0.24-0.46) and anesthesia (OR: 0.39; 95% CrI: 0.26-0.56) demonstrated improvements in functional outcomes and quality of life.

Conclusion: This systematic review and network meta-analysis provide a comprehensive evaluation of interventions for PMPS, highlighting their varying efficacy in alleviating pain and improving functional outcomes and quality of life. However, further research with large-scale, well-designed RCTs is warranted to strengthen the evidence base and validate the effectiveness of these interventions in managing PMPS effectively.

Keywords: Complications; Oncology; breast cancer surgery; post-mastectomy pain syndrome.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Breast Neoplasms* / surgery
  • Female
  • Humans
  • Mastectomy / adverse effects
  • Nerve Block* / methods
  • Network Meta-Analysis
  • Pain