Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis

• المؤلفون الرئيسيون: Dewi Susanti Atmaja, -, Yulistiani, -, Suharjono, -, Elida Zairina, -
• التنسيق: مقال PeerReviewed
• اللغة: English; English; English; English
• منشور في: Springer Nature 2022
• الموضوعات: R Medicine; RS Pharmacy and materia medica; RS1-441 Pharmacy and materia medica; RS200-201 Pharmaceutical dosage forms
• الوصول للمادة أونلاين: https://repository.unair.ac.id/123413/1/C.08%20%20Web%20Journal.pdf; https://repository.unair.ac.id/123413/3/C08.%20Kualitas%20Karil.pdf; https://repository.unair.ac.id/123413/2/C.08%20TURNITIN.pdf; https://repository.unair.ac.id/123413/4/C.08.%20Correspondency.pdf; https://repository.unair.ac.id/123413/; https://www.nature.com/articles/s41598-022-17410-w; https://doi.org/10.1038/s41598-022-17410-w
• المؤسسة: Universitas Airlangga

Tools to accurately predict and detect adverse drug reactions (ADR) in elderly patients have not been developed. We aimed to identify and evaluate reports on tools that predict and detect ADR in elderly patients (≥ 60 years). In this review, we followed the Preferred Reporting Items for Systematic R...