PsyArXiv
metadata only
From Symptoms to Structures: A Systematic Review and Meta-Analysis of Major Depressive Symptom Networks
Major depressive disorder (MDD) is a leading condition examined using network analysis. However, meta-analytic evidence is limited for MDD symptom network studies. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines, we searched Embase, MEDLINE, Psyc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessing biological pathways in the longitudinal association between neighborhood environment and depressive symptoms.#1359398
- Supplementary Material for: Symptom-Level Comorbidity of Fibromyalgia and Depression: A Network Approach within a Large Clinical Sample#261771
- Discrete Shifts in Symptom Networks During Psychotherapy for Chronic Depression – A Regime-Switching Network Analysis#444284
- Gender differences and dynamic mechanisms in depressive symptom trajectories among middle-aged and older adults: a study based on latent trajectory modeling and cross-lagged network analysis.#242357
- Ranking psychological interventions for post-stroke depression: A systematic review and network meta-analysis.#431034
Record · ID 1481187
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive