Predicting treatment resistance from first-episode psychosis using routinely collected clinical information-Reference-Cited by-同舟云学术

Predicting treatment resistance from first-episode psychosis using routinely collected clinical information

Published:2023-01-19 Issue:1 Volume:1 Page:25-35
ISSN:2731-6076
Container-title:Nature Mental Health
language:en
Short-container-title:Nat. Mental Health

Author:

Osimo Emanuele F.^ORCID,Perry Benjamin I.^ORCID,Mallikarjun Pavan,Pritchard Megan,Lewis Jonathan,Katunda Asia,Murray Graham K.^ORCID,Perez Jesus,Jones Peter B.^ORCID,Cardinal Rudolf N.^ORCID,Howes Oliver D.,Upthegrove Rachel^ORCID,Khandaker Golam M.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s44220-022-00001-z.pdf

Reference65 articles.

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2. Osimo, E. F. et al. Inflammatory and cardiometabolic markers at presentation with first episode psychosis and long-term clinical outcomes: A longitudinal study using electronic health records. Brain Behav. Immun. 91, 117–127 (2021).

3. Siskind, D. et al. Rates of treatment-resistant schizophrenia from first-episode cohorts: systematic review and meta-analysis. Br. J. Psychiatry 220, 115–120 (2022).

4. Howes, O. D., Thase, M. E., & Pillinger, T. Treatment resistance in psychiatry: state of the art and new directions. Mol. Psychiatry 27, 58–72 (2021).

5. Kennedy, J. L., Altar, C. A., Taylor, D. L., Degtiar, I. & Hornberger, J. C. The social and economic burden of treatment-resistant schizophrenia: a systematic literature review. Int. Clin. Psychopharmacol. 29, 63–76 (2014).

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