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Development of a Biomarker-Based Diagnostic Algorithm for Posttraumatic Syndrome after Physical Injury: Design of the BioPTS Study

Overview of attention for article published in Psychiatry Investigation, July 2017
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Title
Development of a Biomarker-Based Diagnostic Algorithm for Posttraumatic Syndrome after Physical Injury: Design of the BioPTS Study
Published in
Psychiatry Investigation, July 2017
DOI 10.4306/pi.2017.14.4.513
Pubmed ID
Authors

Ju-Wan Kim, Hee-Ju Kang, Kyung-Yeol Bae, Sung-Wan Kim, Hyun-Kyong Oh, Min-Gon Kim, Jae-Min Kim

Abstract

Severe physical injury is a leading cause of posttraumatic syndrome (PTS). This is to develop a biomarker-based diagnostic algorithm for posttraumatic syndrome (BioPTS) study. This is a 2-year longitudinal cohort study assessing patients who were hospitalized beginning in 2015 at Chonnam National University Hospital in Gwangju, Korea, after experiencing severe physical injuries. Baseline evaluations were made during the acute phase (within 1 month) of the physical injury and included extensive information on sociodemographic and clinical variables as well as a list of biomarkers. All participants will be followed up for 2 years, and the diagnostic and predictive validities of various biomarkers for PTS will be estimated. The BioPTS study will develop the most accurate models for the diagnosis and prediction of PTS, and will contribute to existing research regarding the complex relationships between severe physical injury and psychological issues.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Master 3 14%
Professor > Associate Professor 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Nursing and Health Professions 2 10%
Psychology 2 10%
Sports and Recreations 1 5%
Arts and Humanities 1 5%
Other 2 10%
Unknown 10 48%