Evidence map›Paper›PMID 38594235›Full record

ArticleThe pharmacogenomics journal2024

Pharmacogenomic study-A pilot study of the effect of pharmacogenomic phenotypes on the adequate dosing of verapamil for migraine prevention.

Yi-Chieh Chen, Han Wang, Jayawant N Mandrekar, Carrie E Robertson, Amaal J Starling, Fred M Cutrer, Chia-Chun Chiang

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Article in The pharmacogenomics journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Associations ofPharmaceuticals (Basel, Switzerland) · 2026
    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 2 institutions in 1 country.

Yi-Chieh ChenDepartment of Pharmacy, Mayo Clinic, Rochester, MN, USA. Chen.Yi-Chieh@mayo.edu.ORCID 0000-0002-2132-5483
Han WangDepartment of Neurology, Mayo Clinic Health System, Mankato, MN, USA.ORCID 0000-0001-7571-9536
Jayawant N MandrekarDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Carrie E RobertsonDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-9382-0897
Amaal J StarlingDepartment of Neurology, Mayo Clinic, Scottsdale, AZ, USA.
Fred M CutrerDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Chia-Chun ChiangDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate factors affecting the efficacy and tolerability of verapamil for migraine prevention using individual pharmacogenomic phenotypes.

backgroundVerapamil has a wide range of dosing in headache disorders without reliable tools to predict the optimal doses for an individual.

methodsThis is a retrospective chart review examining adults with existing pharmacogenomic reports at Mayo Clinic who had used verapamil for migraine. Effects of six cytochrome P450 phenotypes on the doses of verapamil for migraine prevention were assessed.

resultsOur final analysis included 33 migraine patients (82% with aura). The mean minimum effective and maximum tolerable doses of verapamil were 178.2(20-320) mg and 227.9(20-480) mg. A variety of CYP2C9, CYP2D6, and CYP3A5 phenotypes were found, without significant association with the verapamil doses after adjusting for age, sex, body mass index, and smoking status.

conclusionsWe demonstrated a wide range of effective and tolerable verapamil doses used for migraine in a cohort with various pharmacogenomic phenotypes.

Indexed as

Migraine DisordersVerapamilAdultHumansPharmacogeneticsPharmacogenomic TestingPhenotypePilot ProjectsRetrospective StudiesVerapamil

Identifiers

PMID38594235
OpenAlexW4394621074

What OpenQuestion holds

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Registered trials

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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.