Evidence map›Paper›PMID 25505689›Full record

ArticleInternational journal of bipolar disorders2013

Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity.

Rita Bauer, Tasha Glenn, Martin Alda, Kemal Sagduyu, Wendy Marsh, Paul Grof, Rodrigo Munoz, Greg Murray, Philipp Ritter, Ute Lewitzka and 3 more

Abstract read
In one paragraph

Article in International journal of bipolar disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Comparison of Efficiency GEE and QIF Methods for Predicting Factors Affecting on Bipolar I Disorder Under Complete-case in a Longitudinal Studies.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2018
    Article
  3. Article
  4. Big data for bipolar disorder.International journal of bipolar disorders · 2016
    Review
  5. Electronic monitoring of self-reported mood: the return of the subjective?International journal of bipolar disorders · 2016
    Review
  6. Observational
  7. Review
  8. Article
  9. Big data are coming to psychiatry: a general introduction.International journal of bipolar disorders · 2015
    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

13 authors.

Rita BauerDepartment of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Dresden, Fetscherstr 74, Dresden, 01307 Germany.
Tasha GlennChronoRecord Association Inc, Fullerton, CA 92834 USA.
Martin AldaDepartment of Psychiatry, Dalhousie University, Halifax, NS B3H 4R2 Canada.
Kemal SagduyuDepartment of Psychiatry, University of Missouri Kansas City School of Medicine, Kansas City, MO 64110 USA.
Wendy MarshDepartment of Psychiatry, University of Massachusetts, Worcester, MA 01655 USA.
Paul GrofDepartment of Psychiatry, University of Toronto, Toronto, ON M5T 1R8 Canada ; Mood Disorders Center of Ottawa, Ottawa, K1G 4G3 Canada.
Rodrigo MunozDepartment of Psychiatry, University of California San Diego, San Diego, CA 92093 USA.
Greg MurrayFaculty of Life and Social Sciences, Swinburne University of Technology, Melbourne, Victoria 3122 Australia.
Philipp RitterDepartment of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Dresden, Fetscherstr 74, Dresden, 01307 Germany.
Ute LewitzkaDepartment of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Dresden, Fetscherstr 74, Dresden, 01307 Germany.
Emanuel SeverusDepartment of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Dresden, Fetscherstr 74, Dresden, 01307 Germany.
Peter C WhybrowDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA 90095 USA.
Michael BauerDepartment of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Dresden, Fetscherstr 74, Dresden, 01307 Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study analyzed regularity in the daily dosage of antidepressants taken by patients with bipolar disorder and identified the factors associated with irregularity.

methodsDaily self-reported medication dosage taken and mood ratings were available from 144 patients who received treatment as usual. All 144 patients took the same antidepressant for at least 100 days. One hundred eleven of these patients were also taking a mood stabilizer. Approximate entropy (ApEn) was used to measure serial regularity in daily dosage. Regularity is the tendency that values within a time series remain the same on incremental comparisons. Drug holidays (missing three or more consecutive days) were also determined. Generalized estimating equations (GEE) were used to estimate if any demographic or clinical variables were associated with regularity.

resultsAlthough the mean percent of days missing doses was only 18.6%, there was a wide range of regularity in the daily antidepressant dosage. Drug holidays were common, occurring in 41% of the analyses. Factors significantly associated with irregularity were as follows: total number of psychotropic medications (p = 0.005), pill burden (p = 0.005), and depression (p = 0.015). Neither the percent of days missing doses nor the drug holidays were associated with any demographic or clinical factors. For patients taking both antidepressants and mood stabilizers, there was no significant difference in regularity in daily dosage between these drugs. DISCUSSION: There can be considerable irregularity in daily dosage despite a low percent of days missing doses. Medication regimen complexity and depressed mood are associated with increased irregularity. Daily regularity in drug dosage may be more dependent on the individual than on the specific drug. Research on the clinical impact of irregularity in daily dosage of antidepressants is needed.

Identifiers

PMID25505689
PMCPMC4215816

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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.