Risk prediction models on adverse drug reactions: A review

IF 0.5 Q4 EDUCATION, SCIENTIFIC DISCIPLINES
Fivy Kurniawati, Erna Kristin, Sri Awalia Febriana, Rizaldy T. Pinzon
{"title":"Risk prediction models on adverse drug reactions: A review","authors":"Fivy Kurniawati, Erna Kristin, Sri Awalia Febriana, Rizaldy T. Pinzon","doi":"10.46542/pe.2023.234.1115","DOIUrl":null,"url":null,"abstract":"Background: The risk prediction model has become increasingly popular in recent years in helping clinical decision-making. Existing models cannot be directly applied in Indonesia. Objective: To review the existing prediction models and their limitations. Method: A search related to the prediction of ADR risk was conducted using several journal databases: PubMed, Scopus and Google Scholar. Articles were screened to match specified criteria and further studied. Result: Nine articles met the criteria and were then analysed. Studies were carried out in various countries. The study population include; the elderly (>65 years, three studies), age (≥15 years, three studies), patients with Chronic Kidney Disease (CKD) (≥18 years, one study) and two studies in cancer patients. The outcomes were; ADR (five studies), ADE ( two studies), DRPs (one study), and cardiovascular effects (one study). The methods for determining the predictors of ADRs all used multivariable logistic regression. Conclusion: Each country has different treatment patterns, prescribing practices, traditions and drug distribution, so it is necessary to develop a prediction model for ADRs that is country-specific.","PeriodicalId":19944,"journal":{"name":"Pharmacy Education","volume":"70 6 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacy Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46542/pe.2023.234.1115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The risk prediction model has become increasingly popular in recent years in helping clinical decision-making. Existing models cannot be directly applied in Indonesia. Objective: To review the existing prediction models and their limitations. Method: A search related to the prediction of ADR risk was conducted using several journal databases: PubMed, Scopus and Google Scholar. Articles were screened to match specified criteria and further studied. Result: Nine articles met the criteria and were then analysed. Studies were carried out in various countries. The study population include; the elderly (>65 years, three studies), age (≥15 years, three studies), patients with Chronic Kidney Disease (CKD) (≥18 years, one study) and two studies in cancer patients. The outcomes were; ADR (five studies), ADE ( two studies), DRPs (one study), and cardiovascular effects (one study). The methods for determining the predictors of ADRs all used multivariable logistic regression. Conclusion: Each country has different treatment patterns, prescribing practices, traditions and drug distribution, so it is necessary to develop a prediction model for ADRs that is country-specific.
药物不良反应风险预测模型综述
背景:近年来,风险预测模型在帮助临床决策方面越来越受欢迎。现有的模式不能直接应用于印度尼西亚。目的:综述现有预测模型及其局限性。方法:使用PubMed、Scopus、Google Scholar等期刊数据库进行ADR风险预测相关的检索。筛选符合特定标准的文章并进一步研究。结果:9篇文章符合标准,并进行分析。在不同的国家进行了研究。研究人群包括;老年人(65岁,3项研究)、年龄(≥15岁,3项研究)、慢性肾脏疾病(CKD)患者(≥18岁,1项研究)和癌症患者2项研究。结果是;不良反应(5项研究)、ADE(2项研究)、DRPs(1项研究)和心血管效应(1项研究)。确定不良反应预测因子的方法均采用多变量logistic回归。结论:每个国家有不同的治疗模式、处方做法、传统和药物分布,因此有必要开发针对各国的adr预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Pharmacy Education
Pharmacy Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
0.80
自引率
20.00%
发文量
174
期刊介绍: Pharmacy Education journal provides a research, development and evaluation forum for communication between academic teachers, researchers and practitioners in professional and pharmacy education, with an emphasis on new and established teaching and learning methods, new curriculum and syllabus directions, educational outcomes, guidance on structuring courses and assessing achievement, and workforce development. It is a peer-reviewed online open access platform for the dissemination of new ideas in professional pharmacy education and workforce development. Pharmacy Education supports Open Access (OA): free, unrestricted online access to research outputs. Readers are able to access the Journal and individual published articles for free - there are no subscription fees or ''pay per view'' charges. Authors wishing to publish their work in Pharmacy Education do so without incurring any financial costs.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信