Evidence map›Paper›PMID 42324762›Full record

ArticleBipolar disorders2026

Cross-Sectional and Longitudinal Comparison of Commonly Used Screening Tools for Bipolar Disorders.

Anna Tröger, Yiqi Zeng, Thomas Richardson, Emma Palmer-Cooper, Allan H Young, Rebecca Strawbridge

Abstract readComparative Study
In one paragraph

Article in Bipolar disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

6 authors.

Anna TrögerDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0002-9835-0900
Yiqi ZengDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Thomas RichardsonSouthampton Psychosis and Bipolar Research and Innovation Group, School of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0002-5357-4281
Emma Palmer-CooperSouthampton Psychosis and Bipolar Research and Innovation Group, School of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0002-5416-1518
Allan H YoungDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Rebecca StrawbridgeDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0002-2984-1124

Funding

Deutsche Forschungsgemeinschaft GRK2773/1- 454245598
6 · The paper itself

Abstract

backgroundMisdiagnosis is common in bipolar disorder (BD). Currently used screening tools are brief and cost-effective, but there is a lack of understanding of their reliability over time, as well as whether responses are influenced by demographic or clinical factors.

aimsTo examine the cross-sectional and longitudinal reliability and validity of two commonly used screening tools, as well as their associations with current mood states and other participant characteristics.

methodsA total of 331 adult patients with a diagnosis of BD completed the Mood Disorder Questionnaire (MDQ) and the Hypomania Symptom Checklist-32 (HCL-32) as well as measures of mood online at baseline and three months later.

resultsThe MDQ was found to have low reliability with poor internal consistency (α = 0.531; α = 0.647 at respective timepoints) and test-retest reliability (r

conclusionsThe HCL-32 appeared more reliable than the MDQ, although all participants needed to exceed an MDQ threshold at baseline to participate in the study, which may have biased our results.

Indexed as

Bipolar DisorderPsychiatric Status Rating ScalesAdultCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung Adultbipolar disorderdiagnosisHCL‐32MDQpsychometric propertiesscreening tools

Identifiers

PMID42324762
PMCPMC13284449

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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.