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. 2023 Dec 13;274(5):1153–1165. doi: 10.1007/s00406-023-01720-9

Table 1.

Overview of the POKAL-PSY study

Study goal
Development of a machine learning algorithm based on relevant risk-factors and predictors to facilitate the diagnosis of depression
Study design
Prospective Study with three cohorts
Inclusion criteria
Sufficient ability to speak and understand German
Female and male subjects between 18–70 years
Ability to understand and sign the informed consent form
PHQ > 8, if depressed
Exclusion criteria
Cognitive limitations that interfere with reliable completion of questionnaires
Presence of a manic episode, bipolar disorder, schizophrenia spectrum disorder, active eating disorder, drug or alcohol dependence syndrome
Presence of uncontrolled systemic disease, uncontrolled somatic (other than metabolic or cardiovascular) /neurologic disease, current or recent (last month) trauma or infectious disease
Patients with acute suicidal ideation
Alpha-1-Antitrypsin deficiency
Pregnant or lactating women
Discontinuation criteria
Patients will be excluded if they develop an exclusion criterion during the course of the study. Data collected up to that point will be retained. The data collected up to that point will be retained in anonymized form, unless the participant requests deletion before ceasing their study participation