Evidence map›Paper›PMID 34477555›Full record

ArticleJMIR mental health2021

Characteristics of Dimensional Psychopathology in Suicidal Patients With Major Psychiatric Disorders and Its Association With the Length of Hospital Stay: Algorithm Validation Study.

Dong Yun Lee, Jimyung Park, Jai Sung Noh, Hyun Woong Roh, Jae Ho Ha, Eun Young Lee, Sang Joon Son, Rae Woong Park

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Dong Yun Lee *Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-3678-9862
Jimyung Park *Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-6998-2546
Jai Sung NohDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-9610-0756
Hyun Woong RohDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-1333-358X
Jae Ho HaDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-5287-328X
Eun Young LeeDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-9440-9119
Sang Joon SonDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0001-7434-7996
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0003-4989-3287
Ajou University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide has emerged as a serious concern for public health; however, only few studies have revealed the differences between major psychiatric disorders and suicide. Recent studies have attempted to quantify research domain criteria (RDoC) into numeric scores to systematically use them in computerized methods. The RDoC scores were used to reveal the characteristics of suicide and its association with major psychiatric disorders.

objectiveWe intended to investigate the differences in the dimensional psychopathology among hospitalized suicidal patients and the association between the dimensional psychopathology of psychiatric disorders and length of hospital stay.

methodsThis retrospective study enrolled hospitalized suicidal patients diagnosed with major psychiatric disorders (depression, schizophrenia, and bipolar disorder) between January 2010 and December 2020 at a tertiary hospital in South Korea. The RDoC scores were calculated using the patients' admission notes. To measure the differences between psychiatric disorder cohorts, analysis of variance and the Cochran Q test were conducted and post hoc analysis for RDoC domains was performed with the independent two-sample t test. A linear regression model was used to analyze the association between the RDoC scores and sociodemographic features and comorbidity index. To estimate the association between the RDoC scores and length of hospital stay, multiple logistic regression models were applied to each psychiatric disorder group.

resultsWe retrieved 732 admissions for 571 patients (465 with depression, 73 with schizophrenia, and 33 with bipolar disorder). We found significant differences in the dimensional psychopathology according to the psychiatric disorders. The patient group with depression showed the highest negative RDoC domain scores. In the cognitive and social RDoC domains, the groups with schizophrenia and bipolar disorder scored higher than the group with depression. In the arousal RDoC domain, the depression and bipolar disorder groups scored higher than the group with schizophrenia. We identified significant associations between the RDoC scores and length of stay for the depression and bipolar disorder groups. The odds ratios (ORs) of the length of stay were increased because of the higher negative RDoC domain scores in the group with depression (OR 1.058, 95% CI 1.006-1.114) and decreased by higher arousal RDoC domain scores in the group with bipolar disorder (OR 0.537, 95% CI 0.285-0.815).

conclusionsThis study showed the association between the dimensional psychopathology of major psychiatric disorders related to suicide and the length of hospital stay and identified differences in the dimensional psychopathology of major psychiatric disorders. This may provide new perspectives for understanding suicidal patients.

Indexed as

computed phenotypeelectronic health recordnatural language processingresearch domain criteriasuicide

Identifiers

PMID34477555
PMCPMC8449292
OpenAlexW3197492393

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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.