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

• Main Authors: Dewi Susanti Atmaja, -, Yulistiani, -, Suharjono, -, Elida Zairina, -
• Format: Article PeerReviewed
• Language: English; English; English; English
• Published: Springer Nature 2022
• Subjects: R Medicine; RS Pharmacy and materia medica; RS1-441 Pharmacy and materia medica; RS200-201 Pharmaceutical dosage forms
• Online Access: 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
• Institution: 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...