Evidence map›Paper›PMID 33168133›Full record

ArticleeLife2020

Belief updating in bipolar disorder predicts time of recurrence.

Paolo Ossola, Neil Garrett, Tali Sharot, Carlo Marchesi

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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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.

Paolo OssolaPsychiatry Unit, Department of Medicine and Surgery, Università di Parma, Parma, Italy.ORCID 0000-0002-0644-3158
Neil GarrettDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Tali SharotAffective Brain Lab, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-8384-6292
Carlo MarchesiPsychiatry Unit, Department of Medicine and Surgery, Università di Parma, Parma, Italy.

Funding

Wellcome Trust 209108/Z/17/ZWellcome Trust 214268/Z/18/Z
6 · The paper itself

Abstract

Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia). Shorter periods of euthymia are associated with poorer functioning, so it is crucial to identify predictors of relapse to facilitate treatment. Here, we test the hypothesis that specific valence-dependent learning patterns emerge prior to the clinical manifestation of a relapse, predicting its timing. The ability to update beliefs in response to positive and negative information was quantified in bipolar patients during euthymia, who were then monitored for 5 years. We found that reduced tendency to update beliefs in response to positive relative to negative information predicted earlier relapse. Less updating in response to positive information may generate pessimistic beliefs, which in turn can lead to more severe prodromal symptoms (e.g. sleep disturbance, irritability etc.). The results suggest that measuring valence-dependent belief updating could facilitate risk prediction in bipolar disorder.

Indexed as

AdultAffectBipolar DisorderFemaleForecastingHumansLearningMaleModels, PsychologicalRecurrenceTime Factorsbipolar disorderhumanlearningneurosciencerecurrencevalence

Identifiers

PMID33168133
PMCPMC7655098

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.