Evidence map›Paper›PMID 37723849›Full record

ArticleCPT: pharmacometrics & systems pharmacology2023

Evaluation of the effect of erenumab on migraine-specific questionnaire in patients with chronic and episodic migraine.

Po-Wei Chen, Mats O Karlsson, Sebastian Ueckert, Ari Pritchard-Bell, Cheng-Pang Hsu, Sandeep Dutta, Malidi Ahamadi

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 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
–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

2 citing papers in PubMed.

  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.

Po-Wei ChenClinical Pharmacology Modeling and Simulation, Amgen Inc., Thousand Oaks, California, USA.
Mats O KarlssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-1258-8297
Sebastian UeckertDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-3712-0255
Ari Pritchard-BellClinical Pharmacology Modeling and Simulation, Amgen Inc., Thousand Oaks, California, USA.
Cheng-Pang HsuAskGene Pharma Inc., Camarillo, California, USA.
Sandeep DuttaClinical Pharmacology Modeling and Simulation, Amgen Inc., Thousand Oaks, California, USA.
Malidi AhamadiClinical Pharmacology Modeling and Simulation, Amgen Inc., Thousand Oaks, California, USA.

Funding

AMGEN Inc.
6 · The paper itself

Abstract

Erenumab is a fully human anti-canonical calcitonin gene-related peptide receptor monoclonal antibody approved for migraine prevention. The Migraine-Specific Quality-of-Life Questionnaire (MSQ) is a 14-item patient-reported outcome instrument that measures the impact of migraine on health-related quality of life. Erenumab data from four phase II/III clinical trials were used to develop an item response theory (IRT) model within a nonlinear mixed effects framework, (i) evaluate the MSQ item information with respect to patient disability, (ii) characterize the longitudinal progression of the MSQ, and (iii) quantify the effect of erenumab on the MSQ in patients with migraine. The majority (80%) of information was found to be contained in 9 out of 14 items, extending the current knowledge on the reliability of the MSQ as a psychometric tool. Simulations across three MSQ domains show significant improvement from baseline, exceeding minimally important differences. Overall, the IRT model platform developed herein allows for systematic quantification of the effect of erenumab on the MSQ in patients with migraine.

Indexed as

Migraine DisordersQuality of LifeAntibodies, Monoclonal, HumanizedHumansReproducibility of ResultsSurveys and QuestionnairesAntibodies, Monoclonal, Humanizederenumab

Identifiers

PMID37723849
PMCPMC10725274

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.