Evidence map›Paper›PMID 31482209›Full record

ArticleInternational journal of bipolar disorders2019

Trajectories of adherence to mood stabilizers in patients with bipolar disorder.

M Bauer, T Glenn, M Alda, R Bauer, P Grof, W Marsh, S Monteith, R Munoz, N Rasgon, K Sagduyu and 1 more

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Article in International journal of bipolar disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

M BauerDepartment of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. michael.bauer@uniklinikum-dresden.de.ORCID http://orcid.org/0000-0002-2666-859X
T GlennChronoRecord Association Inc., Fullerton, CA, USA.
M AldaDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
R BauerDepartment of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
P GrofMood Disorders Center of Ottawa, University of Toronto, Toronto, Canada.
W MarshDepartment of Psychiatry, University of Massachusetts, Worcester, MA, USA.
S MonteithMichigan State University College of Human Medicine, Traverse City Campus, Traverse City, MI, USA.
R MunozDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
N RasgonDepartment of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Palo Alto, CA, USA.
K SagduyuDepartment of Psychiatry, University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.
P C WhybrowDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior University of California Los Angeles (UCLA), Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonadherence with mood stabilizers is a major problem that negatively impacts the course of bipolar disorder. Medication adherence is a complex individual behavior, and adherence rates often change over time. This study asked if distinct classes of adherence trajectories with mood stabilizers over time could be found, and if so, which patient characteristics were associated with the classes.

methodsThis analysis was based on 12 weeks of daily self-reported data from 273 patients with bipolar 1 or II disorder using ChronoRecord computer software. All patients were taking at least one mood stabilizer. The latent class mixed model was used to detect trajectories of adherence based on 12 weekly calculated adherence datapoints per patient.

resultsTwo distinct trajectory classes were found: an adherent class (210 patients; 77%) and a less adherent class (63 patients; 23%). The characteristics associated with the less adherent class were: more time not euthymic (p < 0.001) and female gender (p = 0.016). No other demographic associations were found.

conclusionIn a sample of motivated patients who complete daily mood charting, about one quarter were in the less adherent class. Even patients who actively participate in their care, such as by daily mood charting, may be nonadherent. Demographic characteristics may not be useful in assessing individual adherence. Future research on longitudinal adherence patterns in bipolar disorder is needed.

Identifiers

PMID31482209
PMCPMC6722168

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