Evidence map›Paper›PMID 41504199›Full record

Observational studyRevista de neurologia2025

[Influence of Clinical and Demographic Variables on the Characteristics of Migraine Attacks].

Sonia Quintas, Natalia Aranda Sánchez, Alicia Gonzalez-Martinez, Alba Vieira Campos, Josué Pagán, José Luis Ayala, Javier Galvez-Goicuría, Mónica Sobrado, José Vivancos, Ana Beatriz Gago-Veiga

Abstract readObservational StudyEnglish Abstract
In one paragraph

Observational study in Revista de neurologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Sonia QuintasServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.
Natalia Aranda SánchezFacultad de Medicina, Universidad Autónoma de Madrid, Hospital Universitario de La Princesa, 28029 Madrid, España.
Alicia Gonzalez-MartinezServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.
Alba Vieira CamposServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.
Josué PagánDepartamento de Ingeniería Electrónica, Universidad Politécnica de Madrid, 28031 Madrid, España.
José Luis AyalaCenter for Computational Stimulation, Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Boadilla del Monte, España.
Javier Galvez-GoicuríaDepartamento de Ingeniería Electrónica, Universidad Politécnica de Madrid, 28031 Madrid, España.
Mónica SobradoServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.
José VivancosServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.
Ana Beatriz Gago-VeigaServicio de Neurología, Hospital Universitario de La Princesa & Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, España.

Funding

Instituto de Salud Carlos III (ISCIII) y Fondo Europeo de Desarrollo Regional (FEDER) PMP22/00158Unión Europea mediante el Plan de Recuperación, Transformación y Resiliencia - Next Generation EU
6 · The paper itself

Abstract

introductionMigraine diagnosis relies on clinical criteria that encompass various pain features and associated symptoms, which can vary widely across patients. The aim of this study was to analyze the potential association between sociodemographic factors and the characteristics of migraine attacks.

methodsWe conducted an observational longitudinal study with prospective and real-time data collection using a custom-designed smartphone application. Clinical features and accompanying symptoms of each attack were recorded.

resultsA total of 377 migraine attacks from 51 patients were analyzed. Headache intensity was higher in women (

conclusionsProspective and real-time recording of migraine attacks provides added value by more accurately capturing their clinical variability. Our findings suggest that sociodemographic variables influence attack characteristics, supporting the need for more personalized therapeutic approaches.

Indexed as

Migraine DisordersAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSex FactorsSociodemographic FactorsYoung Adultcognitionmigrainemigraine with auramobile applicationspainsociodemographic factors

Identifiers

PMID41504199
PMCPMC12781208

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.