Adverse-effect burden as the dominant correlate of antidepressant non-adherence in major depressive disorder: insights from a multicentre machine-learning analysis
- DOI
- 10.1016/j.psychres.2026.117432
- Published
- 2026-12
- Container
- Psychiatry Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.psychres.2026.117432,
title = {Adverse-effect burden as the dominant correlate of antidepressant non-adherence in major depressive disorder: insights from a multicentre machine-learning analysis},
author = {Sohail Riaz and Fazli Khuda and Aqeel Nasim and Rukhsana Qazi and Reem M. Alnemari and Nawal Alsubaie},
year = {2026},
journal = {Psychiatry Research},
doi = {10.1016/j.psychres.2026.117432},
url = {https://doi.org/10.1016/j.psychres.2026.117432}
}RIS
TY - JOUR TI - Adverse-effect burden as the dominant correlate of antidepressant non-adherence in major depressive disorder: insights from a multicentre machine-learning analysis AU - Sohail Riaz AU - Fazli Khuda AU - Aqeel Nasim AU - Rukhsana Qazi AU - Reem M. Alnemari AU - Nawal Alsubaie PY - 2026 JO - Psychiatry Research DO - 10.1016/j.psychres.2026.117432 UR - https://doi.org/10.1016/j.psychres.2026.117432 ER -
APA
Riaz, S., Khuda, F., Nasim, A., Qazi, R., Alnemari, R. M., & Alsubaie, N. (2026). Adverse-effect burden as the dominant correlate of antidepressant non-adherence in major depressive disorder: insights from a multicentre machine-learning analysis. Psychiatry Research. https://doi.org/10.1016/j.psychres.2026.117432
Source records
- crossref · retrieved 2026-09-25T23:24:12.821Z