relation: https://katalog.ukdw.ac.id/9450/
title: RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW
creator: Rizaldy Taslim Pinzon
subject: R Kedokteran (Umum)
subject: RS Farmasi dan Bahan Medis (materia medica)
description: 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.
publisher: International Pharmaceutical Federation
date: 2024-10-10
type: Article
type: PeerReviewed
format: text
language: en
identifier: https://katalog.ukdw.ac.id/9450/1/Risk%20prediction%20models%20on%20adverse%20drug%20reactions.pdf
identifier:   Rizaldy Taslim Pinzon  (2024) RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW.  Pharmacy Education Journal, 23 (4).  pp. 11-15.  ISSN 1477-2701     
relation: https://doi.org/10.46542/pe.2023.234.1115
relation: doi:10.46542/pe.2023.234.1115