Evidence map›Paper›PMID 38131057›Full record

ArticleThe mental health clinician2023

Predictors of persistence and adherence to deutetrabenazine among patients with Huntington disease or tardive dyskinesia.

Daniel O Claassen, Rajeev Ayyagari, Viviana García-Horton, Su Zhang, Sam Leo

Open access · greenAbstract read
In one paragraph

Article in The mental health clinician, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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.

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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

5 authors at 2 institutions in 2 countries.

Daniel O ClaassenVice President, Analysis Group, Inc, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-9853-4902
Rajeev AyyagariVice President, Analysis Group, Inc, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-0870-2309
Viviana García-HortonManager, Analysis Group, Inc, New York, New York.ORCID https://orcid.org/0000-0003-0835-800X
Su ZhangManager, Analysis Group, Inc, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-2056-8838
Sam LeoDirector, Austedo HEOR Lead, Teva Branded Pharmaceutical Products R&D, Inc., Global Health Economics and Outcomes Research, Parsippany, New Jersey.ORCID https://orcid.org/0000-0002-0424-9693
Analysis Group (United States) · USHealth Economics and Outcomes Research (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Deutetrabenazine is approved for treatment of Huntington disease (HD)-related chorea and tardive dyskinesia (TD) in adults. Factors associated with deutetrabenazine persistence and adherence are not well understood. Methods: Claims data from the Symphony Health Solutions Integrated Dataverse (2017-2019) were analyzed to identify real-world predictors of deutetrabenazine persistence and adherence in adults with HD or TD in the United States. Predictive models for persistence and adherence that considered patient demographics, payer type, comorbidities, treatment history, and health care resource use were developed. Results: In HD, use of anticonvulsants (HR = 2.00 [95% CI = 1.03, 3.85]; Discussion: Identifying factors predictive of discontinuation and/or nonadherence to deutetrabenazine may facilitate the development of personalized support programs that seek to improve outcomes in patients with HD or TD.

Indexed as

adherencechoreadeutetrabenazineHuntington diseasepersistencetardive dyskinesia

Identifiers

PMID38131057
PMCPMC10732128
OpenAlexW4390120702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.