Evidence map›Paper›PMID 30310310›Full record

ArticleJournal of pain research2018

To what extent are patients with migraine able to predict attacks?

Ana B Gago-Veiga, Josué Pagán, Kevin Henares, Patricia Heredia, Nuria González-García, María-Irene De Orbe, Jose L Ayala, Mónica Sobrado, Jose Vivancos

Registry-linked trialAbstract read
In one paragraph

Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06459635 (Prediction Study of the Pain Phase of Migraine Attacks in Patients With Episodic Migraine), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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.

NCT06459635 recruitingnot on this mapstarted 2023, after this paper: background citation

Prediction Study of the Pain Phase of Migraine Attacks in Patients With Episodic Migraine

Typeobservational_patient_registrySponsorFundación de Investigación Biomédica - Hospital Universitario de La PrincesaRan2023 to 2026Enrolled70ConditionsMigraine, Migraine Headache, Migraine Disorders, Migraine Without Aura
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Article
  8. Hallmarks of primary headache: part 1 - migraine.The journal of headache and pain · 2024
    Review
  9. Postdromal symptoms in migraine: a REFORM study.The journal of headache and pain · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. Imaging the Premonitory Phase of Migraine.Frontiers in neurology · 2020
    Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ana B Gago-VeigaHeadache Unit, Department of Neurology, Instituto de Investigación Sanitaria Hospital, Universitario de la Princesa, Madrid, Spain, dra.anagago@gmail.com.
Josué PagánDepartment of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain.
Kevin HenaresDepartment of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain.
Patricia HerediaHeadache Unit, Department of Neurology, Instituto de Investigación Sanitaria Hospital, Universitario de la Princesa, Madrid, Spain, dra.anagago@gmail.com.
Nuria González-GarcíaHeadache Unit, Hospital Clínico Universitario San Carlos, Madrid, Spain.
María-Irene De OrbeDepartment of Computer and Automation Architecture, Universidad Complutense de Madrid, Madrid, Spain.
Jose L AyalaCenter for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain.
Mónica SobradoHeadache Unit, Department of Neurology, Instituto de Investigación Sanitaria Hospital, Universitario de la Princesa, Madrid, Spain, dra.anagago@gmail.com.
Jose VivancosHeadache Unit, Department of Neurology, Instituto de Investigación Sanitaria Hospital, Universitario de la Princesa, Madrid, Spain, dra.anagago@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePremonitory symptoms (PSs) of migraine are those that precede pain in a migraine attack. Previous studies suggest that treatment during this phase may prevent the onset of pain; however, this approach requires that patients be able to recognize their PSs. Our objectives were to evaluate patients' actual ability to predict migraine attacks based on their PSs and analyze whether good predictors meet any characteristic profile. PATIENTS AND

methodsThis prospective, observational study included patients with migraine with and without aura. Patients' baseline characteristics were recorded. During a 2-month follow-up period, patients used a mobile application to record what they believed to be PSs and later to record the onset of pain, if this occurred. When a migraine attack ended, patients had to complete a form on the characteristics of the episode (including the presence of PSs not identified prior to the attack).

resultsFifty patients were initially selected. A final total of 34 patients were analyzed, recording 229 attacks. Of whom, 158 (69%) were accompanied by PSs and were recorded prior to the pain onset in 63 (27.5%) cases. A total of 67.6% of the patients were able to predict at least one attack, but only 35.3% were good predictors (>50% of attacks). There were only 11 cases in which a patient erroneously reported their PSs (positive predictive value: 85.1%). Good predictors were not differentiated by any specific clinical characteristic. However, a range of symptoms were particularly predictive; these included photophobia, drowsiness, yawning, increased thirst, and blurred vision.

conclusionA large majority of patients with migraine experienced a PS and were able to predict at least one attack. Besides, only a small percentage of patients were considered as good predictors; however, they could not be characterized by any specific profile. Nonetheless, when patients with migraine believed that they were experiencing PSs, they were frequently correct.

Indexed as

electronic diarymachine learningmigrainepredictionpremonitory symptomsreal-time

Identifiers

PMID30310310
PMCPMC6166762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.