Evidence map›Paper›PMID 41249805›Full record

ReviewTranslational psychiatry2025

Lost in translation: toward clinically effective translational research.

Valerie Tze Yeen Tan, Ryan D Ward

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Valerie Tze Yeen TanDepartment of Psychological Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0009-0005-7642-9529
Ryan D WardDepartment of Psychology, University of Otago, Dunedin, New Zealand. ryan.ward@otago.ac.nz.ORCID http://orcid.org/0000-0003-1036-0555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Anxiety DisordersMood DisordersTranslational Research, BiomedicalAnimalsDisease Models, AnimalHumans

Identifiers

PMID41249805
PMCPMC12623474

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.