Evidence map›Paper›PMID 42204337›Full record

ReviewCommunications medicine2026

Applying a causal biopsychosocial model to guide medicine and psychiatry fifty years after Engel.

Roland von Känel

Abstract readReview
In one paragraph

Review in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Roland von KänelDepartment of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland. roland.vonkaenel@usz.ch.ORCID http://orcid.org/0000-0002-8929-5129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fifty years after George L. Engel proposed the biopsychosocial model to replace biomedical reductionism, its influence across medical disciplines, including psychiatry, endures but its scientific potential remains unrealized. Conceived as a foundation for research, education and clinical practice, Engel's model anticipated the current search for integrative explanations linking biological, psychological and social processes. Yet in practice, it has often become a checklist rather than a causal framework. Contemporary tools, including computational modeling, network analysis, digital phenotyping and causal inference methods, enable increasingly sophisticated modeling and partial testing of these interactions across different levels of organization. This Perspective calls for a causal biopsychosocial framework to guide the next fifty years of research, teaching, and patient care that integrates measurable and predictive sciences of interacting systems to unite medicine and psychiatry.

Identifiers

PMID42204337
PMCPMC13230977

What OpenQuestion holds

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LicenceCC BY
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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.