Literature DB >> 30390215

Quantitative comparison of drug efficacy in treating hot flashes in patients with breast cancer.

Ting Li1, Juan Yang1, Yinghua Lv1, Fang Yin1, Ling Xu1, Hongxia Liu1, Qingshan Zheng2, Lujin Li3.   

Abstract

OBJECTIVE: This study aimed to quantitatively evaluate drug efficacy and identify relevant factors that affect the relief of hot flashes in patients with breast cancer.
METHODS: A comprehensive literature search was performed using public databases. Randomized clinical studies on drug therapy for the treatment of hot flashes in patients with breast cancer were identified. A time-effect model was established, and crucial pharmacodynamic parameters, such as maximal efficacy (Emax) and onset time (ET50), were used to reflect the differences in efficacy among the drugs.
RESULTS: Eighteen studies involving 5178 subjects were included. It was found that the baseline of hot flashes was an important factor for the Emax value of drugs. After correcting the baseline to the level of eight times per day, the Emax values of progesterone, selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors (SSRIs/SNRIs), neuroleptic agents, tibolone, phytoestrogen, other types of drugs, and placebo were 8.3(95%CI 6.8, 9.9),5.1(95%CI 4.4, 5.7), 4.4(95%CI 3.6, 5.3), 4.0(95%CI 3.6, 4.3), 3.4(95%CI 2.4, 4.3), 2.5(95%CI 0.8, 4.2), and 2.7(95%CI 2.1, 3.3), respectively. The ET50 of all the drugs were approximately 2-2.5 weeks, which was obviously longer than that of the placebo (1.2 weeks). When compared with the previously reported efficacy characteristics in natural menopausal women, no significant difference was found between the two populations.
CONCLUSIONS: Progesterone showed the highest efficacy, followed by SSRIs/SNRIs, neuroleptic agents, and tibolone, while phytoestrogen and other types of drugs showed no efficacy advantages. There is a significant association between the baseline of hot flashes and drug efficacy, while there was no significant difference between breast cancer patients and natural menopausal women.

Entities:  

Keywords:  Breast cancer; Hot flashes; Medication guidelines; Model-based meta-analysis

Mesh:

Substances:

Year:  2018        PMID: 30390215     DOI: 10.1007/s10549-018-5029-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  4 in total

1.  Comparing Interventions for Management of Hot Flashes in Patients With Breast and Prostate Cancer: A Systematic Review With Meta-Analyses.

Authors:  Brian Hutton; Mona Hersi; Wei Cheng; Misty Pratt; Pauline Barbeau; Sasha Mazzarello; Nadera Ahmadzai; Becky Skidmore; Scott C Morgan; Louise Bordeleau; Pamela K Ginex; Behnam Sadeghirad; Rebecca L Morgan; Katherine Marie Cole; Mark Clemons
Journal:  Oncol Nurs Forum       Date:  2020-07-01       Impact factor: 2.172

2.  Testing whether the progression of Alzheimer's disease changes with the year of publication, additional design, and geographical area: a modeling analysis of literature aggregate data.

Authors:  Ningyuan Zhang; Xijun Zheng; Hongxia Liu; Qingshan Zheng; Lujin Li
Journal:  Alzheimers Res Ther       Date:  2020-05-26       Impact factor: 6.982

3.  Applications of Model-Based Meta-Analysis in Drug Development.

Authors:  Phyllis Chan; Kirill Peskov; Xuyang Song
Journal:  Pharm Res       Date:  2022-02-16       Impact factor: 4.580

4.  Application of positive behavior management in patients after breast cancer surgery.

Authors:  Ying-Jie Hao; Hui-Bo Sun; Hong-Wei Li; Bing-Jie Chen; Xiu-Li Chen; Lin Ma; Ying-Li Li
Journal:  World J Clin Cases       Date:  2020-02-26       Impact factor: 1.337

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.