Evidence map›Paper›PMID 42599006›Full record

ReviewJournal of psychiatry & neuroscience : JPN2026

Reimagining the biopsychosocial model: hierarchical mechanisms from transdiagnostic to precision psychiatry.

Marco Leyton

Abstract readReview
In one paragraph

Review in Journal of psychiatry & neuroscience : JPN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Marco LeytonDepartments of Psychiatry, Psychology, and Neurology & Neurosurgery, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-1243-2252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bio-psycho-social models of psychopathology have been long proposed. Despite this, few details have been identified in part due to the poor match between clinical phenomenology and diagnostic categories (e.g., overlapping symptoms and comorbidity). In the present paper, the author reviews the evidence for three factors thought to affect vulnerability across diagnoses: mesocorticolimbic function, early life adversity, and early propensities to high emotional and behavioral reactivity. All three factors now have compelling support but their effects on clinical outcomes are small to moderate in isolation. In comparison, our preliminary studies suggest that combining these factors yields a powerful model that predicts liability to all common psychiatric disorders. Narrower mental health problems are identified when the model incorporates high brain reactivity to disorder-specific stimuli. Since the combination of these factors accounts for more variance than the sum of their parts, this novel, hierarchical model might explain how the structure of psychopathology arises.

Indexed as

Mental DisordersModels, BiopsychosocialPrecision MedicinePsychiatryHumansalcohol and substance abuse disordersanxiety disordersdopaminergic systemimpulse control disordermood disordersstress

Identifiers

PMID42599006
PMCPMC13474573

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.