ArticleJournal of affective disorders2025
BD
Article in Journal of affective disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- The Estrogen-Mitochondria Axis in Bipolar Disorder: Promise, Complexity, and Future Directions.Biological psychiatry global open science · 2026Article
- Schizophrenia Spectrum Biomarkers Consortium: Establishment of a Biorepository for the Discovery of Quantitative Fluid Biomarkers.Schizophrenia bulletin · 2026Article
- Alignment of Lived Experience Questions with the Medical Literature in Bipolar Disorder: A Topic Modelling Approach: Adéquation entre les questions relatives à l'expérience vécue et la littérature médicale concernant le trouble bipolaire : Une approche de modélisation de sujets.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026Article
- The breakthrough discoveries for thriving with bipolar disorder (BDInternational journal of bipolar disorders · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundThe bipolar disorder field suffers from underinvestment of clinical and research resources, missing links between validated measures and individual biology, poorly understood practice variation, and gaps in clinical practice. These challenges underscore the need for systems-level approaches to improve care delivery. Learning Health Networks (LHNs) are a growing approach driving advances in care delivery by leveraging data and experiences to identify best practices. Key features of LHNs include diverse stakeholder engagement, standardized data collection, measurement-based care, shared governance, information technology infrastructure, and evidence generation. LHNs enable rapid dissemination of shared learnings to drive improvement in bipolar disorder care.
methodsA case study of the Breakthrough Discoveries for thriving with Bipolar Disorder (BD
resultsThe BD LIMITATIONS: The BD
conclusionsLessons learned include the value of lived experience stakeholder input to shape the LHN and the need to navigate challenges in identifying common measures. This work provides a roadmap for advancing bipolar disorder treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.