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. 2025 Jun;226(6):418-420.
doi: 10.1192/bjp.2025.95.

Identification of menstrual psychosis cases using electronic health records

Thomas J Reilly  1   2   3 , Edward Chesney  3   4 , Adam Al-Diwani  1 , Amelia Jewell  3 , Alexis E Cullen  2   5 , Dominic Oliver  1   6 , Philip McGuire  1   6
Affiliations

Identification of menstrual psychosis cases using electronic health records

Thomas J Reilly et al. Br J Psychiatry. 2025 Jun.
No abstract available

Keywords: Psychotic disorders and schizophrenia; bioinformatics; bipolar type I or II disorders; case–control study; diagnosis and classification.

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Conflict of interest statement

Declaration of Interest

None. TJR, AAD and PM are members of the BJPsych editorial board. They did not take part in the review or decision-making process of this paper.

Figures

Figure 1
Figure 1
Forest plot of the association of symptom domains (left) and individual symptoms (right) with case-control status. Odds ratio >1 indicates higher proportion in cases, odds ratio <1 indicates higher proportion in controls. Black circle indicates statistical significance corrected at the False Discovery Rate of 5%
See this image and copyright information in PMC

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