Observational studyBMC psychiatry2018
Outcomes of an integrated care pathway for concurrent major depressive and alcohol use disorders: a multisite prospective cohort study.
Observational study in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of structured care pathways in major depressive disorder and bipolar disorder.BMC psychiatry · 2023Pooled it
- Major depressive disorder-alcohol use disorder comorbidity: diagnosis, mechanisms and treatment.European archives of psychiatry and clinical neuroscience · 2026Review
- Integrated Management of Co-Occurring Alcohol Use Disorder and Depression: Clinical Approaches for Concurrent Disorders.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2025Article
- Hazardous drinking and alcohol use disorders.Nature reviews. Disease primers · 2022Review
- Impact of Comorbid Alcohol Use Disorder on Health-Related Quality of Life Among Patients With Depressive Symptoms.Frontiers in psychiatry · 2021Article
- Ethanol induces maladaptive impulse control and decreased seeking behaviors in mice.Addiction biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2013, an Integrated Care Pathway (ICP) for concurrent Major Depressive (MDD) and Alcohol Use (AUD) Disorders was developed at the Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada. The ICP was further implemented at 8 other clinical sites across Ontario (the DA VINCI Project) in 2015-2017. The goal of this study was to systematically describe and analyze the main clinical outcomes of the project.
methodsData on a non-randomized cohort of patients receiving ICP-based treatment were collected prospectively at nine clinical sites in a variety of clinical settings. STATISTICAL
methodsdescriptive statistics, t-test, chi-square, ANOVA, generalized linear models.
resultsTwo hundred forty-six patients were enrolled, 58.8% males, mean age was 45.6 years, 170 patients received treatment at academic health centres (AHC), 49 - at community hospitals (CH) and 27 - in family health teams (FHT). There were no major differences in anamnestic parameters and depression severity between the three settings, but there were differences in baseline drinking patterns between subgroups (F = 4.271, df = 2, p = 0.015). Overall completion rate was 70.7% with no significant variation between settings (χ
conclusionsThe study demonstrated that ICP is a feasible and effective treatment for concurrent AUD and MDD that delivers meaningful clinical improvement in a variety of settings. A randomized controlled study is needed to properly compare the treatment outcomes between ICP model and treatment as usual and to further explore the role of various factors on treatment outcomes.
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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.