Trial reportJournal of affective disorders2025
Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.
Trial report 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
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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.
- Disrupted Large-Scale Brain Network Connectivity in Prolonged Grief Disorder: Relationship With Grief-Related Avoidance, Yearning, and Intrusive Thoughts.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Accelerated brain aging in prolonged grief disorder of later life: Influence of comorbid depression.Journal of affective disorders · 2026Article
- Prolonged grief disorder in later life: advancing our understanding of biopsychosocial mechanisms to guide future personalized interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Mindfulness and Relaxation Interventions Reduce Depression, Negative Affect and Stress in Widow(er)s.Journal of loss & trauma · 2025Article
Corrections and comments
- Update of
Authors and funding
8 authors.
Funding
Abstract
backgroundAlthough evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment characteristics associated with differential improvement remain unidentified. To identify clinical factors relevant to optimizing PGDT outcomes, we used unsupervised and supervised machine learning to study treatment effects from a double-blinded, placebo-controlled, randomized clinical trial.
methodsPatients were randomized into four treatment groups for 20 weeks: citalopram with grief-informed clinical management, citalopram with PGDT, pill placebo with PGDT, or pill placebo with clinical management. The trial included 333 PGD patients aged 18-95 years (M = 53.9; SD = 14.4). Symptom trajectories were assessed using latent growth mixture modeling based on Inventory for Complicated Grief scores collected every 4 weeks. The relationship between patient-level characteristics and assigned trajectories was examined using logistic regression with elastic net regularization based on the administration of citalopram, PGDT, and risk factors for developing PGD.
resultsThree response trajectories were identified: lesser severity responders (60 %, n = 200), greater severity responders (18.02 %, n = 60), and non-responders (21.92 %, n = 73). Significant differences between greater severity responders and non-responders emerged by Week 8, persisting through the 6-month follow-up assessment. The elastic net model (AUC = 0.702; F1 = 0.777) indicated that higher baseline depression severity, grief-related functional impairment, and not receiving PGDT were associated with a decreased probability of response. LIMITATIONS: An independent validation cohort of PGDT patients is needed to further study generalizability of findings.
conclusionsDifferential PGDT courses and the role of depression severity and grief-related functional impairment in treatment non-response were identified. These findings underscore the importance of determining clinical factors relevant to optimizing individual treatment strategies.
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