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Cinacalcet use in secondary hyperparathyroidism: a machine learning-based systematic review.

Xiaosong Li1, Wei Ding1, Hong Zhang1

  • 1Department of Thyroid Surgery, The Second hospital of Jilin University, Changchun, Jilin, China.

Frontiers in Endocrinology
|August 4, 2023
PubMed
Summary

This study analyzed cinacalcet for secondary hyperparathyroidism (SHPT) using machine learning. Cinacalcet effectively reduces PTH and calcium levels but increases risks of nausea, vomiting, and hypocalcemia.

Keywords:
FGF-23LDA analysisbibliometricscalcimimeticsmachine learning

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Area of Science:

  • Bibliometrics and Meta-Analysis
  • Nephrology and Endocrinology Research Trends

Background:

  • Secondary hyperparathyroidism (SHPT) is a common complication in chronic kidney disease.
  • Cinacalcet is a calcimimetic agent used to manage SHPT.

Purpose of the Study:

  • To systematically review and analyze research on cinacalcet and SHPT.
  • To identify publication trends, research hotspots, and the efficacy and safety of cinacalcet.

Main Methods:

  • Bibliometric analysis of 959 articles published between 2000-2022 from Web of Science Core Collection.
  • Machine learning tools (Bibliometrix, VOSviewer, CiteSpace, LDA) and meta-analysis were employed.
  • Analysis included publication output, country/institution/author contributions, and research topics.

Main Results:

  • Significant reduction in serum PTH (SMD = -0.56) and calcium (SMD = -0.93) levels with cinacalcet.
  • Cinacalcet improved phosphate (SMD = 0.17) and calcium-phosphate product levels (SMD = -0.49).
  • Increased risks of nausea (RR = 2.29), hypocalcemia (RR = 4.05), and vomiting (RR = 1.90) were observed.

Conclusions:

  • Cinacalcet is effective in managing SHPT by lowering PTH and calcium levels.
  • The study highlights key research areas and emerging trends in cinacalcet and SHPT research.
  • Findings offer valuable insights into cinacalcet's efficacy and safety profile for clinicians and researchers.