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Trial · NCT07880015

Digital Phenotypes for Predicting Depression_Validation

NCT07880015, Enrolling by invitation, Korea University Anam Hospital

3 sourcestrials-2026-11-12-0.5.0

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ConductScience Library. Digital Phenotypes for Predicting Depression_Validation. Trials, record NCT07880015. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07880015

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Trial

As registered on ClinicalTrials.gov, in the graph's capture of the registry.

Title
Digital Phenotypes for Predicting Depression_Validation
NCT number
NCT07880015
Status
Enrolling by invitation
Enrollment
200 participants, estimated
Lead sponsor
Korea University Anam Hospital
Conditions
Major Depressive Disorder, Bipolar I Disorder, Bipolar II Disorder, Mood Disorders
First posted
2026-10-19
Last updated
2026-10-27

Source ClinicalTrials.gov

Registered outcomes10

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescription
PrimaryArea Under the Receiver Operating Characteristic Curve (AUROC) for Prediction of Clinician-Adjudicated Depressive Episode OnsetFrom baseline through Month 12
The predictive performance of the digital phenotype-based model developed using the preceding MentalHERO cohort will be evaluated in the present independent prospective cohort. Clinician-adjudicated depressive episode onset during follow-up will be used as the reference outcome. Model discrimination will be assessed using the area under the receiver operating characteristic curve (AUROC), with higher values indicating better discrimination.
SecondaryArea Under the Precision-Recall Curve (AUPRC) for Prediction of Clinician-Adjudicated Depressive Episode OnsetFrom baseline through Month 12
Model performance will be evaluated using the area under the precision-recall curve (AUPRC), which summarizes the trade-off between precision and recall for prediction of clinician-adjudicated depressive episode onset. Higher values indicate better predictive performance.
SecondarySensitivity for Prediction of Clinician-Adjudicated Depressive Episode OnsetFrom baseline through Month 12Sensitivity will be calculated as the proportion of depressive episode onsets correctly identified by the prediction model using the prespecified model decision threshold.
SecondarySpecificity for Prediction of Clinician-Adjudicated Depressive Episode OnsetFrom baseline through Month 12Specificity will be calculated as the proportion of non-episode observations correctly classified by the prediction model using the prespecified model decision threshold.
SecondaryAccuracy for Prediction of Clinician-Adjudicated Depressive Episode OnsetFrom baseline through Month 12Overall classification accuracy of the prediction model will be evaluated against clinician-adjudicated depressive episode status.
SecondaryTime-Dependent AUC for Early Prediction of Depressive Episode OnsetFrom baseline through Month 12The ability of the digital phenotype-based prediction model to identify impending depressive episode onset 3-7 days in advance will be assessed using time-dependent area under the curve (AUC).
SecondaryOccurrence of Clinician-Adjudicated Depressive EpisodesFrom baseline through Month 12
The occurrence and day-level onset and offset of depressive episodes during follow-up will be determined through structured inter-visit mood-episode assessment and clinician adjudication using available clinical information and daily mood records.
OtherLongitudinal Depressive Symptom Severity Measured by the Patient Health Questionnaire-9 (PHQ-9)Baseline and Months 3, 6, 9, and 12
Depressive symptom severity will be assessed using the Patient Health Questionnaire-9 (PHQ-9). Total scores range from 0 to 27, with higher scores indicating greater depressive symptom severity. Longitudinal changes across scheduled study visits will be examined.
OtherLongitudinal Depressive Symptom Severity Measured by the Korean Montgomery-Åsberg Depression Rating Scale (K-MADRS)Baseline and Months 3, 6, 9, and 12Clinician-rated depressive symptom severity will be assessed using the K-MADRS in the patient group, with higher scores indicating greater depressive symptom severity.
OtherLongitudinal Manic Symptom Severity Measured by the Young Mania Rating Scale (YMRS)Baseline and Months 3, 6, 9, and 12Clinician-rated manic symptom severity will be assessed using the Young Mania Rating Scale (YMRS) in the patient group, with higher scores indicating greater manic symptom severity.

Outcomes0

Each outcome the trial posted results for, in ClinicalTrials.gov's words.

None in this release.

Results by group0

Each measurement the trial posted, group by group, in the words and numbers it posted.

None in this release.

Participant flow0

How many started, completed or left each group, period by period.

None in this release.

Adverse events0

Each adverse event the trial posted, group by group: the participants affected out of those at risk.

None in this release.

Adverse event totals0

The totals the trial posted for each group.

None in this release.

Papers0

The papers the trial lists on ClinicalTrials.gov.

None in this release.

Grants0

The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.

None in this release.

Trial comparisons0

Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.

None in this release.

Tests0

The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.

None in this release.

Data dates

The day each source was copied for this release.

ClinicalTrials.gov
2026-11-12
ClinicalTrials.gov
Results, from AACT
2026-03-23
AACT
NIH grant links
2026-11-13
NIH RePORTER

Sources 3

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
  • NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated
  • NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this trial from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/trials/v1/NCT07880015

GET https://conductscience.org/api/trials/v1/NCT07880015/registered