ReviewPharmacoEconomics - open2017
Model-Based Economic Evaluation of Treatments for Depression: A Systematic Literature Review.
Review in PharmacoEconomics - open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 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
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Comparison of Cost-Effectiveness Between Digital Health Interventions and Pharmacotherapy for Depression: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Cost-effectiveness of physical activity-oriented interventions for improving mental health: a systematic review.BMC public health · 2025Pooled it
- Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Should the Spanish National Health System Invest in Psychotherapy for Depression? A Microsimulation Cost-Utility Study to Estimate the Economically Justifiable Price of Cognitive Behavioral Therapy Versus Anti-depressant Medication.Applied health economics and health policy · 2026Article
- Cost-effectiveness analysis of mHealth applications for depression in Germany using a Markov cohort simulation.NPJ digital medicine · 2024Article
- Article
- A Promising Approach to Optimizing Sequential Treatment Decisions for Depression: Markov Decision Process.PharmacoEconomics · 2022Review
- The Incidence and Costs of Adverse Events Associated with Antidepressants: Results from a Systematic Review, Network Meta-Analysis and Multi-Country Economic Model.Neuropsychiatric disease and treatment · 2022Article
- Guided Internet-Based Cognitive Behavioral Therapy for Depression: Implementation Cost-Effectiveness Study.Journal of medical Internet research · 2021Article
- Effects of CRMP2 DNA Methylation in the Hippocampus on Depressive-Like Behaviors and Cytoskeletal Proteins in Rats.Frontiers in cellular neuroscience · 2021Article
- Article
- Cost-Utility Analysis of Mindfulness-Based Cognitive Therapy Versus Antidepressant Pharmacotherapy for Prevention of Depressive Relapse in a Canadian Context: Analyse coût-utilité de la thérapie cognitive basée sur la pleine conscience contre la pharmacothérapie antidépressive pour prévenir la rechute de la dépression en contexte canadien.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020Article
- Differential Regulation of DNA Methylation at the CRMP2 Promoter Region Between the Hippocampus and Prefrontal Cortex in a CUMS Depression Model.Frontiers in psychiatry · 2020Article
- GRP Receptor Regulates Depression BehaviorFrontiers in psychiatry · 2019Article
- Model Registration: A Call to Action.PharmacoEconomics - open · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundAn increasing number of model-based studies that evaluate the cost effectiveness of treatments for depression are being published. These studies have different characteristics and use different simulation methods.
objectiveWe aimed to systematically review model-based studies evaluating the cost effectiveness of treatments for depression and examine which modelling technique is most appropriate for simulating the natural course of depression.
methodsThe literature search was conducted in the databases PubMed, EMBASE and PsycInfo between 1 January 2002 and 1 October 2016. Studies were eligible if they used a health economic model with quality-adjusted life-years or disability-adjusted life-years as an outcome measure. Data related to various methodological characteristics were extracted from the included studies. The available modelling techniques were evaluated based on 11 predefined criteria.
resultsThis methodological review included 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the studies (54%) evaluated antidepressants compared with a control condition. The data sources, time horizons, cycle lengths, perspectives adopted and number of health states/events all varied widely between the included studies. DTs scored positively in four of the 11 criteria, CMMs in five, ISMs in six, and DES models in seven.
conclusionThere were substantial methodological differences between the studies. Since the individual history of each patient is important for the prognosis of depression, DES and ISM simulation methods may be more appropriate than the others for a pragmatic representation of the course of depression. However, direct comparisons between the available modelling techniques are necessary to yield firm conclusions.
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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.