ArticleJMIR mental health2024
Digital Tools to Facilitate the Detection and Treatment of Bipolar Disorder: Key Developments and Future Directions.
Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Mood Monitoring, Mood Tracking, and Ambulatory Assessment Interventions in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mental health · 2026Pooled it
- The User Experience of Ambulatory Assessment and Mood Monitoring in Bipolar Disorder: Systematic Review and Meta-Synthesis of Qualitative Studies.Journal of medical Internet research · 2025Pooled it
- Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities.Bipolar disorders · 2026Review
- Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study.JMIR mHealth and uHealth · 2026Article
- Determinants of Digital Health Resource Utilization Among Individuals With Self-Reported Bipolar Disorder in Germany-A Cross-Sectional Study Based on the Andersen Model.Bipolar disorders · 2026Article
- The effect of sleep-wake behaviors on the onset of mania in youth: A computational model.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- [Risk Prediction Performance of Blood Biomarkers for Bipolar Disorder With Psychotic Symptoms].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- BDJournal of affective disorders · 2025Article
- Validated metabolomic biomarkers in psychiatric disorders: a narrative review.Molecular medicine (Cambridge, Mass.) · 2025Review
- Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study.JMIR mental health · 2025Article
- The Role of Artificial Intelligence in Managing Bipolar Disorder: A New Frontier in Patient Care.Journal of clinical medicine · 2025Article
- The MinDag app for symptom monitoring and feedback to patients and clinicians during the initial treatment of bipolar disorder - a feasibility study.International journal of bipolar disorders · 2025Article
- Digital health literacy among people with bipolar disorder in Germany - a cross-sectional survey.Frontiers in psychiatry · 2025Article
- What patients and caregivers want to know when consenting to the use of digital behavioral markers.NPP - digital psychiatry and neuroscience · 2024Article
- Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role.Current psychiatry reports · 2024Review
- How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of #BipolarClub.Journal of medical Internet research · 2024Article
- Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.IET systems biologyArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bipolar disorder (BD) impacts over 40 million people around the world, often manifesting in early adulthood and substantially impacting the quality of life and functioning of individuals. Although early interventions are associated with a better prognosis, the early detection of BD is challenging given the high degree of similarity with other psychiatric conditions, including major depressive disorder, which corroborates the high rates of misdiagnosis. Further, BD has a chronic, relapsing course, and the majority of patients will go on to experience mood relapses despite pharmacological treatment. Digital technologies present promising results to augment early detection of symptoms and enhance BD treatment. In this editorial, we will discuss current findings on the use of digital technologies in the field of BD, while debating the challenges associated with their implementation in clinical practice and the future directions.
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Registered trials
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.