Evidence map›Paper›PMID 38058598›Full record

ArticleThe mental health clinician2023

Impact of sex on antidepressant discontinuation in groups of similar cytochrome P450 phenotypes.

Dylan L Kosaski, Kristin C Cole, Jessica A Wright, Razan M El Melik, Simon Kung, Wayne T Nicholson, Jonathan G Leung

Open access · goldAbstract 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
0.2field-weighted citation impact, top 40% 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, 1 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Dylan L KosaskiPharmacist, Department of Pharmacy, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0002-2036-0965
Kristin C ColeStatistician, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0002-8783-0191
Jessica A WrightPharmacist, Department of Pharmacy, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0001-9659-4875
Razan M El MelikPharmacist, Department of Pharmacy, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0003-0970-8374
Simon KungPsychiatrist, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0002-2959-8312
Wayne T NicholsonPhysician, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0002-3418-4253
Jonathan G LeungPharmacist, Department of Pharmacy, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0003-3836-9375
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although there are studies assessing reasons for antidepressant discontinuation, little is known about the impact of sex differences or cytochrome P450 phenotypes. Our objective is to assess discontinuation rates between males and females and whether CYP450 phenotype influences discontinuation. Methods: This is a retrospective review of patients previously enrolled in the Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment database with major depressive disorder. Patients were evaluated for antidepressants trialed between January 1, 2009, and September 30, 2019. Survival analyses with competing risks were used to analyze discontinuation reasons. A Kaplan-Meier estimation method was used to assess the time to discontinuation and discontinuation rates. Analyses were also completed to assess discontinuation between men and women by phenotypic groups. All tests were two-sided, and Results: There were 620 antidepressant discontinuation events discovered from 1015 antidepressant trials included. Overall, the median time to discontinuation for males was 2.6 years and 1.9 years for females (hazard ratio [HR] 0.97 [95% confidence interval (CI): 0.80, 1.19], Discussion: We did not detect a significant difference in risk of antidepressant discontinuation rates between males and females even when accounting for cytochrome P450 phenotype. Future studies should account for whether medications that inhibit or induce antidepressant metabolism may be a crucial factor in antidepressant discontinuation.

Indexed as

antidepressantscytochrome P450depressiondrug interactionsgenderpharmacogenomicspharmacokineticssex

Identifiers

PMID38058598
PMCPMC10696171
OpenAlexW4389246474

What OpenQuestion holds

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LicenceCC BY-NC
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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.