ReviewTranslational psychiatry2025
Lost in translation: toward clinically effective translational research.
Review in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Model Systems infrastructure of the German Center for Mental Health (DZPG): toward an integrated, mechanism-based framework for mental health research.European archives of psychiatry and clinical neuroscience · 2026Review
- Implementing reverse translational research in psychiatry.Frontiers in psychiatry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the increased access to and variety of psychotropic drugs available for treatment of mood and anxiety disorders, the prevalence of these disorders is still rising, indicating that current treatment approaches are broadly ineffective. We suggest that this inefficacy is due in large part to the current approach to translational research between neuroscience and psychiatry. Animal models aim to replicate, as closely as possible, the symptoms of disorders observed in people. These models are then used to assess genetic susceptibilities and neurophysiological and cellular underpinnings of functional impairments and to search for observable biomarkers and druggable targets. At the same time, clinical work is focused on symptom diagnosis and management, often relying on the same druggable targets that have been fed up the translational chain. This approach has in large part resulted from psychiatry's historical medicalization of mental illness that encourages both basic and clinical researchers to limit the search to treatable biological causes for mood disorders, often based on a single chemical or neurotransmitter explanation. By reviewing results from both animal and patient studies, we show that the methods and diagnostic frameworks employed do not adequately capture either the symptoms of disorders of interest or the effects of drugs measured in animal models, or the development, life course, and trajectory of mood disorders in people. This failure results in a bidirectional self-reinforcing cycle of inefficacy of translational research. We suggest that a focus on the environmental, social and psychological context in which mood disorders arise and are treated is crucial to developing truly translational models and research strategies.
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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.