Evidence map›Paper›PMID 33299402›Full record

ReviewNeural plasticity2020

From Uncertainty to Anxiety: How Uncertainty Fuels Anxiety in a Process Mediated by Intolerance of Uncertainty.

Yuanyuan Gu, Simeng Gu, Yi Lei, Hong Li

Abstract readReview
In one paragraph

Review in Neural plasticity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  15. Active information sampling in health and disease.Neuroscience and biobehavioral reviews · 2025
    Review
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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

4 authors.

Yuanyuan GuInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
Simeng GuInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
Yi LeiInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.ORCID 0000-0002-8874-923X
Hong LiInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainty about future events may lead to worry, anxiety, even inability to function. The highly related concept-intolerance of uncertainty (IU)-emerged in the early 1990s, which is further developed into a transdiagnostic risk factor in multiple forms of anxiety disorders. Interests in uncertainty and intolerance of uncertainty have rapidly increased in recent years; little is known about the construct and phenomenology of uncertainty and IU and the association between them. In an attempt to reveal the nature of two concepts, we reviewed broad literature surrounding uncertainty and intolerance of uncertainty (IU). We followed the process in which the whole IU theory developed and extended, including two aspects: (1) from uncertainty to intolerance of uncertainty and (2) definition of uncertainty and intolerance of uncertainty, and further concluded uncertainty fuels to negative emotions, biased expectancy, and inflexible response. Secondly, this paper summarized the experimental research concerning uncertainty and IU, consisted of three parts: (1) uncertainty-based research, (2) measurements of IU, and (3) domain-specific IU. Lastly, we pointed out what remains unknown and needed to be investigated in future research. This result provides a comprehensive overview in this domain, enhancing our understanding of uncertainty and IU and contributing to further theoretical and empirical explorations.

Indexed as

Models, PsychologicalUncertaintyAnxietyAnxiety DisordersFearHumans

Identifiers

PMID33299402
PMCPMC7704173

What OpenQuestion holds

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Registered trials

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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.