Evidence map›Paper›PMID 41587546›Full record

ArticlePsychiatry investigation2026

Psychometric Properties of the Mixed State Severity Index for Patients With Mood Disorder.

Woojae Myung, Hyeona Yu, Hyo Shin Kang, Daseul Lee, Junwoo Jang, Jakyung Lee, Joohyun Yoon, Yun Seong Park, Hyun A Ryoo, Ye Rim Kim and 9 more

Abstract read
In one paragraph

Article in Psychiatry investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Woojae MyungDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyeona YuDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyo Shin KangDepartment of Psychology, Kyungpook National University, Daegu, Republic of Korea.
Daseul LeeDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Junwoo JangDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jakyung LeeDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Joohyun YoonDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Yun Seong ParkDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyun A RyooDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ye Rim KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Kwang Ho ParkDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Chan Woo LeeDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Yoonjeong JangDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Kimyoung KimHumanities Institute, Kangwon National University, Chuncheon, Republic of Korea.
Nara LeeDepartment of French Language, Kyung Hee University, Youngin, Republic of Korea.
Sanghoon HongDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Hong-Hee WonDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Tae Hyon HaDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jungkyu ParkDepartment of Psychology, Kyungpook National University, Daegu, Republic of Korea.

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare RS-2023-KH136934Ministry of Science and ICTNational IT Industry Promotion Agency 08-2025-0126National Research Foundation of Korea RS-2024-00335261NAVER Corporation 37-2023-0140
6 · The paper itself

Abstract

objectiveThis study aimed to develop a reliable and valid Mixed State Severity Index (MSSI) to assess mood instability in patients with mood disorders and determine cutoff scores.

methodsTwenty-one items were selected based on Koukopoulos' criteria for mixed depressive episode, historically referred to as agitated depression, and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision mixed features criteria. The MSSI was administered to 242 patients (major depressive disorder [n=92], bipolar disorder [BD] I [n=78], and BD II [n=72]) and 726 controls.

resultsThe MSSI demonstrated high internal consistency (α=0.78-0.90). Exploratory factor analysis revealed a stable four-factor structure. Based on receiver operating characteristic analysis, optimal cutoff scores were identified to distinguish mood disorder groups from controls, ranging from 19.5 to 27.5 depending on diagnosis.

conclusionThe MSSI is a reliable and valid instrument for assessing the severity of mixed features in patients with mood disorders. The established cutoff scores enhance its clinical utility, providing robust diagnosis and treatment planning support.

Indexed as

Affective symptomsBipolar disorderDepressive disorderPsychiatric status rating scalesPsychometrics

Identifiers

PMID41587546
PMCPMC12835643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.