Trial reportJournal of the American Geriatrics Society2016
Does a Depression Management Program Decrease Mortality in Older Adults with Specific Medical Conditions in Primary Care? An Exploratory Analysis.
Trial report in Journal of the American Geriatrics Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Pooled it
- Psychological interventions for coronary heart disease.The Cochrane database of systematic reviews · 2017Pooled it
- Adapting psychotherapy in collaborative care for treating opioid use disorder and co-occurring psychiatric conditions in primary care.Families, systems & health : the journal of collaborative family healthcare · 2023Trial
- Assessing rates and contextual predictors of 5-year mortality among HIV-infected and HIV-uninfected individuals following HIV testing in Durban, South Africa.BMC infectious diseases · 2019Trial
- Models of care for improving health-related quality of life, mental health, or mortality in persons with multimorbidity: A systematic review of randomized controlled trials.Journal of multimorbidity and comorbidityReview
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 at 5 institutions in 1 country.
Funding
Abstract
objectivesTo determine whether treating depression decreases mortality from various chronic medical conditions.
designLong-term follow-up of multisite-practice randomized controlled trial (Prevention of Suicide in Primary Care Elderly: Collaborative Trial).
settingTwenty primary care practices randomized to intervention or usual care.
participantsIndividuals aged 60 and older identified through depression screening of random patients (N=1,226).
interventionFor 2 years, a depression care manager worked with primary care physicians in intervention practices to provide algorithm-based care for depression. MEASUREMENTS: Mortality risk based on a median follow-up of 98 months (range 0.8-116.4 months) through 2008; chronic medical conditions ascertained through self-report.
resultsFor heart disease, persons with major depression were at greater risk of death, whether in usual-care or intervention practices. Older adults with major depression and diabetes mellitus in practices randomized to the intervention condition (hazard ratio=0.47, 95% confidence interval=0.24-0.91) were less likely to die. For other medical conditions, the point estimates for risk of death in persons with major depression were all in the direction of indicating lower risk in intervention practices but did not reach statistical significance.
conclusionOlder adults with depression and medical comorbidity pose a significant clinical and public health challenge. Evidence was found of a statistically significant intervention effect on mortality for diabetes mellitus in persons with major depression.
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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.