Evidence map›Paper›PMID 34083204›Full record

Trial reportEvidence-based mental health2021

Prevalences of comorbid anxiety disorder and daily smartphone-based self-reported anxiety in patients with newly diagnosed bipolar disorder.

Sharleny Stanislaus, Klara Coello, Hanne Lie Kjærstad, Kimie Stefanie Ormstrup Sletved, Ida Seeberg, Mads Frost, Jakob Eyvind Bardram, Rasmus Nejst Jensen, Maj Vinberg, Maria Faurholt-Jepsen and 1 more

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Evidence-based mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02888262 (The Bipolar Illness Onset Study), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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.

NCT02888262 active not recruitingnot on this map

The Bipolar Illness Onset Study (the BIO Study)

TypeobservationalSponsorMental Health Centre Copenhagen, Bispebjerg and Frederiksberg HospitalRan2016 to 2026Enrolled700ConditionsBipolar Disorder
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Carpe diem.Evidence-based mental health · 2022
    Article
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

11 authors at 4 institutions in 1 country.

Sharleny StanislausPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark sharleny.stanislaus.01@regionh.dk.ORCID 0000-0003-1073-6436
Klara CoelloPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Hanne Lie KjærstadPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Kimie Stefanie Ormstrup SletvedPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Ida SeebergPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Mads FrostMonsenso, Monsenso Aps, Copenhagen, Denmark.
Jakob Eyvind BardramDepartment of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Rasmus Nejst JensenPsychiatric Centre North Zealand, Region Hovedstadens Psykiatri, Hilleroed, Hovedstaden, Denmark.
Maj VinbergPsychiatric Centre North Zealand, Region Hovedstadens Psykiatri, Hilleroed, Hovedstaden, Denmark.
Maria Faurholt-JepsenPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Lars Vedel KessingPsychiatric Center Copenhagen, Rigshospitalet, Region Hovedstadens Psykiatri, Kobenhavn, Hovedstaden, Denmark.
Rigshospitalet · DKUniversity of Copenhagen · DKCapital Region of Denmark · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAround 40% of patients with bipolar disorder (BD) additionally have anxiety disorder. The prevalence of anxiety in patients with newly diagnosed BD and their first-degree relatives (UR) has not been investigated.ObjectiveTo investigate (1) the prevalence of a comorbid anxiety diagnosis in patients with newly diagnosed BD and their UR, (2) sociodemographic and clinical differences between patients with and without a comorbid anxiety diagnosis and (3) the association between smartphone-based patient-reported anxiety and observer-based ratings of anxiety and functioning, respectively.

methodsWe recruited 372 patients with BD and 116 of their UR. Daily smartphone-based data were provided from 125 patients. SCAN was used to assess comorbid anxiety diagnoses.

findingsIn patients with BD, the prevalence of a comorbid anxiety disorder was 11.3% (N=42) and 10.3% and 5.9% in partial and full remission, respectively. In UR, the prevalence was 6.9%. Patients with a comorbid anxiety disorder had longer illness duration (p=0.016) and higher number of affective episodes (p=0.011). Smartphone-based patient-reported anxiety symptoms were associated with ratings of anxiety and impaired functioning (p<0.001). LIMITATIONS: The SCAN interviews to diagnose comorbid anxiety disorder were carried out regardless of the participants' mood state.Clinical implicationsThe lower prevalence of anxiety in newly diagnosed BD than in later stages of BD indicates that anxiety increases with progression of BD. Comorbid anxiety seems associated with poorer clinical outcomes and functioning and smartphones are clinically useful for monitoring anxiety symptoms. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT02888262).

Indexed as

Bipolar DisorderSmartphoneAnxietyAnxiety DisordersComorbidityHumansPrevalenceSelf Reportadult psychiatryanxiety disordersdepression & mood disorders

Identifiers

PMID34083204
PMCPMC10231557
OpenAlexW3165153455

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.