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ArticleFrontiers in psychiatry2020

Study Protocol for a Prospective Longitudinal Cohort Study to Identify Proteomic Predictors of Pluripotent Risk for Mental Illness: The Seoul Pluripotent Risk for Mental Illness Study.

Tae Young Lee, Junhee Lee, Hyun Ju Lee, Yunna Lee, Sang Jin Rhee, Dong Yeon Park, Myung Jae Paek, Eun Young Kim, Euitae Kim, Sungwon Roh and 7 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

17 authors.

Tae Young LeeDepartment of Neuropsychiatry, Pusan National University Yangsan Hospital, Yangsan, South Korea.
Junhee LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Hyun Ju LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Yunna LeeDepartment of Neuropsychiatry, Kosin University Gospel Hospital, Pusan, South Korea.
Sang Jin RheeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Dong Yeon ParkDepartment of Psychiatry, National Center for Mental Health, Seoul, South Korea.
Myung Jae PaekDepartment of Psychiatry, The Armed Forces Capital Hospital, Seongnam, South Korea.
Eun Young KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Euitae KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea.
Sungwon RohDepartment of Neuropsychiatry, Hanyang University Hospital, Seoul, South Korea.
Hee Yeon JungDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, South Korea.
Minah KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Se Hyun KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Dohyun HanDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Yong Min AhnDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Kyooseob HaDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Jun Soo KwonDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Seoul Pluripotent Risk for Mental Illness (SPRIM) study was designed to identify predictors leading to mental illness in help-seeking individuals by securing sufficient statistical power through transdiagnostic approaches. The SPRIM study aims to examine the clinical characteristics of high-risk individuals for mental illness and to identify proteomic biomarkers that can predict the onset of mental illness.

methodsThis paper describes the study protocol of the SPRIM study. We aim to recruit 150 participants who meet the criteria for high risk for major mental illness, 150 patients with major psychiatric disorders (schizophrenia, bipolar disorder, and major depressive disorder), and 50 matched healthy control subjects for 2 years. Clinical evaluations, self-report measures, and proteomic analyses will be implemented. The assessment points are at baseline, 6, 12, 18, and 24 months.

conclusionsIn the present study, we introduced the study protocol of the SPRIM study, which is the first prospective cohort study of transdiagnostic high-risk concepts using proteomic biomarkers. This study has a paradigm that encompasses various diseases without aiming at predicting and preventing the development of a specific mental illness in help-seeking individuals. The transdiagnostic high-risk concept could be extended to provide a perspective for people with various psychopathological tendencies below a threshold, such that they do not meet the existing diagnostic criteria of mental illnesses, to determine what may lead them to a specific disease and help identify appropriate preventative interventions.

Indexed as

bipolar disorderhigh-risk for mental illnessmajor depressive disorderpluripotentialproteomicsschizophreniatransdiagnostic

Identifiers

PMID32372992
PMCPMC7186772

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