ReviewArchives of general psychiatry2011
Translational epidemiology in psychiatry: linking population to clinical and basic sciences.
Review in Archives of general psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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
22 citing papers in PubMed.
- The challenges of epidemiologic translation: communicating with physicians, policymakers, and the public.Frontiers in public health · 2024Article
- Temporally ordered associations between type 2 diabetes and brain disorders - a Danish register-based cohort study.BMC psychiatry · 2022Article
- From population to neuron: exploring common mediators for metabolic problems and mental illnesses.Molecular psychiatry · 2021Article
- Mental health in UK Biobank - development, implementation and results from an online questionnaire completed by 157 366 participants: a reanalysis.BJPsych open · 2020Article
- A risk calculator to predict adult attention-deficit/hyperactivity disorder: generation and external validation in three birth cohorts and one clinical sample.Epidemiology and psychiatric sciences · 2019Article
- Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants.BJPsych open · 2018Article
- The importance of cohort research starting early in life to understanding child health.Current opinion in pediatrics · 2018Review
- Stability of Cortical Thinning in Persons at Increased Familial Risk for Major Depressive Disorder Across 8 Years.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2017Article
- Prenatal Nutritional Deficiency and Psychosis: Where Do We Go From Here?JAMA psychiatry · 2017Article
- Translational Epidemiologic Approaches to Understanding the Consequences of Early-Life Exposures.Behavior genetics · 2016Review
- Referral Practices for Cognitive Behavioral Therapy for Insomnia: A Survey Study.Behavioural neurology · 2015Article
- Epidemiology and genetics of common mental disorders in the general population: the PEGASUS-Murcia project.BMJ open · 2013Article
- Critical need for family-based, quasi-experimental designs in integrating genetic and social science research.American journal of public health · 2013Article
- Genetics in population health science: strategies and opportunities.American journal of public health · 2013Article
- Gray matter abnormalities in social anxiety disorder: primary, replication, and specificity studies.Biological psychiatry · 2013Article
- Using the high-risk family design to identify biomarkers for major depression.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013Article
- Infant and childhood neurodevelopmental outcomes following prenatal exposure to selective serotonin reuptake inhibitors: overview and design of a Finnish Register-Based Study (FinESSI).BMC psychiatry · 2012Article
- Managing sensitive phenotypic data and biomaterial in large-scale collaborative psychiatric genetic research projects: practical considerations.Molecular psychiatry · 2012Article
- Early interventions for PTSD: a review.Depression and anxiety · 2012Review
- Translating epidemiology in psychiatry: the future is here.Epidemiology and psychiatric sciences · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Translational research generally refers to the application of knowledge generated by advances in basic sciences research translated into new approaches for diagnosis, prevention, and treatment of disease. This direction is called bench-to-bedside. Psychiatry has similarly emphasized the basic sciences as the starting point of translational research. This article introduces the term translational epidemiology for psychiatry research as a bidirectional concept in which the knowledge generated from the bedside or the population can also be translated to the benches of laboratory science. Epidemiologic studies are primarily observational but can generate representative samples, novel designs, and hypotheses that can be translated into more tractable experimental approaches in the clinical and basic sciences. This bedside-to-bench concept has not been explicated in psychiatry, although there are an increasing number of examples in the research literature. This article describes selected epidemiologic designs, providing examples and opportunities for translational research from community surveys and prospective, birth cohort, and family-based designs. Rapid developments in informatics, emphases on large sample collection for genetic and biomarker studies, and interest in personalized medicine--which requires information on relative and absolute risk factors--make this topic timely. The approach described has implications for providing fresh metaphors to communicate complex issues in interdisciplinary collaborations and for training in epidemiology and other sciences in psychiatry.
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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.