Evidence map›Paper›PMID 38217080›Full record

ArticleBritish journal of psychology (London, England : 1953)2026

Understanding anxiety through uncertainty quantification.

Friederike Elisabeth Hedley, Emmett Larsen, Aprajita Mohanty, Jeremiah Zhe Liu, Jingwen Jin

Abstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 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

5 authors.

Friederike Elisabeth HedleyDepartment of Psychology, The University of Hong Kong, Hong Kong SAR, China.
Emmett LarsenDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Aprajita MohantyDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Jeremiah Zhe LiuGoogle Research, Mountain View, California, USA.
Jingwen JinDepartment of Psychology, The University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-9227-6837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainty has been a central concept in psychological theories of anxiety. However, this concept has been plagued by divergent connotations and operationalizations. The lack of consensus hinders the current search for cognitive and biological mechanisms of anxiety, jeopardizes theory creation and comparison, and restrains translation of basic research into improved diagnoses and interventions. Drawing upon uncertainty decomposition in Bayesian Decision Theory, we propose a well-defined conceptual structure of uncertainty in cognitive and clinical sciences, with a focus on anxiety. We discuss how this conceptual structure provides clarity and can be naturally applied to existing frameworks of psychopathology research. Furthermore, it allows formal quantification of various types of uncertainty that can benefit both research and clinical practice in the era of computational psychiatry.

Indexed as

AnxietyBayes TheoremHumansUncertaintyanxietyBayesian theoryintolerance of uncertaintyresearch domain criteriauncertainty quantification

Identifiers

PMID38217080
PMCPMC13353260

What Socratic 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 Socratic graph.