Evidence map›Paper›PMID 30786322›Full record

ArticleInternational journal of methods in psychiatric research2019

The prevalence and diagnostic classification of mixed features in patients with major depressive episodes: A multicenter study based on the DSM-5.

In Hee Shim, Jonghun Lee, Moon-Doo Kim, Young-Eun Jung, Kyung Joon Min, Young-Joon Kwon, Ji Sun Kim, Kwanghun Lee, Young Sup Woo, Beomwoo Nam and 7 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in International journal of methods in psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Symptom Severity Mixity in Older-Age Bipolar Disorder: Analyses From the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD).The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Article
  5. Ketamine in Bipolar Disorder: A Review.Neuropsychiatric disease and treatment · 2020
    Review
  6. Article
  7. Article
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

17 authors at 12 institutions in 1 country.

In Hee ShimDepartment of Psychiatry, Cancer Center, Dongnam Institute of Radiological and Medical Sciences, Busan, Republic of Korea.
Jonghun LeeDepartment of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea.
Moon-Doo KimDepartment of Psychiatry, School of Medicine, Jeju National University, Jeju, Republic of Korea.
Young-Eun JungDepartment of Psychiatry, School of Medicine, Jeju National University, Jeju, Republic of Korea.
Kyung Joon MinDepartment of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea.
Young-Joon KwonDepartment of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University, Cheonan, Republic of Korea.
Ji Sun KimDepartment of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University, Cheonan, Republic of Korea.
Kwanghun LeeDepartment of Psychiatry, College of Medicine, Dongguk University, Gyeongju, Republic of Korea.
Young Sup WooDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Beomwoo NamDepartment of Psychiatry, School of Medicine, Konkuk University, Chungju, Republic of Korea.
Jeong Seok SeoDepartment of Psychiatry, School of Medicine, Konkuk University, Chungju, Republic of Korea.
Jung Goo LeeDepartment of Psychiatry, Haeundae Paik Hospital, College of Medicine, Inje University and Paik Institute for Clinical Research, Department of Health Science and Technology, Graduate School of Inje University, Busan, Republic of Korea.
Duk-In JonDepartment of Psychiatry, Hallym University College of Medicine, Anyang, Republic of Korea.
Inki SohnDepartment of Psychiatry, Keyo Hospital, Uiwang, Republic of Korea.
Sung-Yong ParkDepartment of Psychiatry, Keyo Hospital, Uiwang, Republic of Korea.
Bo-Hyun YoonDepartment of Psychiatry, Naju National Hospital, Naju, Republic of Korea.
Won-Myong BahkDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-0156-2510
Catholic University of Korea · KRJeju National University · KRKonkuk University · KRSoonchunhyang University · KRWonkwang University · KRChung-Ang University Hospital · KRDaegu Catholic University · KRDongguk University · KRDongnam Institute of Radiological & Medical Sciences · KRHallym University · KRInje University · KRNaju National Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to evaluate the prevalence of mixed features using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and to examine how patients with mixed states would be classified using the DSM-5.

methodsIn total, 12 hospitals participated in this study, and data on the demographic characteristics and clinical diagnoses of patients treated between October 2013 and September 2016 were obtained. We reviewed the data for opposite-polarity symptoms according to the DSM-5 criteria and the research-based diagnostic criteria.

resultsOf the 859 patients included in the final analysis, the prevalence of mixed features in patients with major depressive episodes based on the DSM-5 remained low. Patients with major depressive disorder were more likely to be classified as experiencing anxious distress and/or a cluster-B personality disorder in mixed state patients not diagnosed with DSM-5 mixed features, whereas more mixed state patients with bipolar disorder were diagnosed with mixed features using the DSM-5.

conclusionsThe prevalence of mixed features did not increase significantly when the DSM-5 was used, and patients with mixed states were more likely to be classified as having anxious distress and/or a cluster-B personality disorder in addition to mixed features.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdultAnxietyBipolar DisorderFemaleHumansMajor Depressive DisorderMaleMiddle AgedPrevalencePsychological Distressbipolar disordermajor depressive disordermixed featuresprevalence

Identifiers

PMID30786322
PMCPMC6877217
OpenAlexW2915732028

What OpenQuestion holds

Textmetadata
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.