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

被引:4
|
作者
Li, Xiaosong [1 ]
Ding, Wei [1 ]
Zhang, Hong [1 ]
机构
[1] Jilin Univ, Hosp 2, Dept Thyroid Surg, Changchun, Jilin, Peoples R China
来源
关键词
calcimimetics; FGF-23; bibliometrics; LDA analysis; machine learning; CARDIOVASCULAR-DISEASE; VASCULAR CALCIFICATION; HEMODIALYSIS-PATIENTS; HCL THERAPY; EVENTS; ETELCALCETIDE; MANAGEMENT; FGF-23;
D O I
10.3389/fendo.2023.1146955
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionThis study aimed to systematically review research on cinacalcet and secondary hyperparathyroidism (SHPT) using machine learning-based statistical analyses. MethodsPublications indexed in the Web of Science Core Collection database on Cinacalcet and SHPT published between 2000 and 2022 were retrieved. The R package "Bibliometrix," VOSviewer, CiteSpace, meta, and latent Dirichlet allocation (LDA) in Python were used to generate bibliometric and meta-analytical results. ResultsA total of 959 articles were included in our bibliometric analysis. In total, 3753 scholars from 54 countries contributed to this field of research. The United States, Japan, and China were found to be among the three most productive countries worldwide. Three Japanese institutions (Showa University, Tokai University, and Kobe University) published the most articles on Cinacalcet and SHPT. Fukagawa, M.; Chertow, G.M.; Goodman W.G. were the three authors who published the most articles in this field. Most articles were published in Nephrology Dialysis Transplantation, Kidney International, and Therapeutic Apheresis and Dialysis. Research on Cinacalcet and SHPT has mainly included three topics: 1) comparative effects of various treatments, 2) the safety and efficacy of cinacalcet, and 3) fibroblast growth factor-23 (FGF-23). Integrated treatments, cinacalcet use in pediatric chronic kidney disease, and new therapeutic targets are emerging research hotspots. Through a meta-analysis, we confirmed the effects of Cinacalcet on reducing serum PTH (SMD = -0.56, 95% CI = -0.76 to -0.37, p = 0.001) and calcium (SMD = -0.93, 95% CI = -1.21to -0.64, p = 0.001) and improving phosphate (SMD = 0.17, 95% CI = -0.33 to -0.01, p = 0.033) and calcium-phosphate product levels (SMD = -0.49, 95% CI = -0.71 to -0.28, p = 0.001); we found no difference in all-cause mortality (RR = 0.97, 95% CI = 0.90 to 1.05, p = 0.47), cardiovascular mortality (RR = 0.69, 95% CI = 0.36 to 1.31, p = 0.25), and parathyroidectomy (RR = 0.36, 95% CI = 0.09 to 1.35, p = 0.13) between the Cinacalcet and non-Cinacalcet users. Moreover, Cinacalcet was associated with an increased risk of nausea (RR = 2.29, 95% CI = 1.73 to 3.05, p = 0.001), hypocalcemia (RR = 4.05, 95% CI = 2.33 to 7.04, p = 0.001), and vomiting (RR = 1.90, 95% CI = 1.70 to 2.11, p = 0.001). DiscussionThe number of publications indexed to Cinacalcet and SHPT has increased rapidly over the past 22 years. Literature distribution, research topics, and emerging trends in publications on Cinacalcet and SHPT were analyzed using a machine learning-based bibliometric review. The findings of this meta-analysis provide valuable insights into the efficacy and safety of cinacalcet for the treatment of SHPT, which will be of interest to both clinical and researchers.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] EFFICACY OF INCORPORATING CRITERIA FOR CINACALCET (SENSIPAR) USE INTO A PARICALCITOL (ZEMPLAR) PROTOCOL IN SECONDARY HYPERPARATHYROIDISM
    Clark, Barbara
    Lima, Bruno
    Lohiya, Piyush
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2010, 55 (04) : A49 - A49
  • [42] Review of machine learning-based Mineral Resource estimation
    Mahoob, M. A.
    Celik, T.
    Genc, B.
    JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY, 2022, 122 (11) : 655 - 664
  • [43] Treatment Based on Cinacalcet Reduces Oxidative Stress in Hemodialysis Patients with Secondary Hyperparathyroidism
    Kuczera, Piotr
    Adamczak, Marcin
    Machnik, Grzegorz
    Okopien, Boguslaw
    Wiecek, Andrzej
    NEPHRON, 2018, 139 (04) : 286 - 292
  • [44] Machine learning-based new approach to films review
    Jassim, Mustafa Abdalrassual
    Abd, Dhafar Hamed
    Omri, Mohamed Nazih
    SOCIAL NETWORK ANALYSIS AND MINING, 2023, 13 (01)
  • [45] A Review of Machine Learning-Based Recognition of Sign Language
    Singh, Shaminder
    Gupta, Anuj Kumar
    Arora, Tanvi
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2023, 23 (06)
  • [46] A Review on Machine Learning-Based Radio Direction Finding
    You, Ming-Yi
    Lu, An-Nan
    Ye, Yun-Xia
    Huang, Kai
    Jiang, Bin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [47] Machine learning-based new approach to films review
    Mustafa Abdalrassual Jassim
    Dhafar Hamed Abd
    Mohamed Nazih Omri
    Social Network Analysis and Mining, 13
  • [48] Machine Learning-based Secure 5G Network Slicing: A Systematic Literature Review
    Alanazi, Meshari Huwaytim
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (12) : 377 - 393
  • [49] Current Status and Quality of Machine Learning-Based Radiomics Studies for Glioma Grading: A Systematic Review
    Tabatabaei, Mohsen
    Razaei, Ali
    Sarrami, Amir Hossein
    Saadatpour, Zahra
    Singhal, Aparna
    Sotoudeh, Houman
    ONCOLOGY, 2021, : 433 - 443
  • [50] Machine Learning-based Prediction Models for Diagnosis and Prognosis in Inflammatory Bowel Diseases: A Systematic Review
    Nguyen, Nghia H.
    Picetti, Dominic
    Dulai, Parambir S.
    Jairath, Vipul
    Sandborn, William J.
    Ohno-Machado, Lucila
    Chen, Peter L.
    Singh, Siddharth
    JOURNAL OF CROHNS & COLITIS, 2022, 16 (03): : 398 - 413