Evidence map›Paper›PMID 31042063›Full record

Observational studyCephalalgia : an international journal of headache2019

A web-based, branching logic questionnaire for the automated classification of migraine.

Eric A Kaiser, Aleksandra Igdalova, Geoffrey K Aguirre, Brett Cucchiara

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Cephalalgia : an international journal of headache, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Computerized migraine diagnostic tools: a systematic review.Therapeutic advances in chronic disease · 2022
    Article
  9. Article
  10. Selective amplification of ipRGC signals accounts for interictal photophobia in migraine.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Article
  13. 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

4 authors.

Eric A KaiserDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-9750-2434
Aleksandra IgdalovaDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Geoffrey K AguirreDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Brett CucchiaraDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Melanopsin and cone signals in human visual processingR01EY024681 · NEI · UNIVERSITY OF PENNSYLVANIA · PI AGUIRRE, GEOFFREY KARL, BRAINARD, DAVID H. · 2015 to 2018
$1.6M
NEI NIH HHS R01 EY024681
6 · The paper itself

Abstract

objectiveTo identify migraineurs and headache-free individuals with an online questionnaire and automated analysis algorithm.

methodsWe created a branching-logic, web-based questionnaire - the Penn Online Evaluation of Migraine - to obtain standardized headache history from a previously studied cohort. Responses were analyzed with an automated algorithm to assign subjects to one of several categories based on ICHD-3 (beta) criteria. Following a pre-registered protocol, the primary outcome was sensitivity and specificity for assignment of headache-free, migraine without aura, and migraine with aura labels, as compared to a prior classification by neurologist interview.

resultsOf 118 subjects contacted, 90 (76%) completed the questionnaire; of these 31 were headache-free controls, 29 migraine without aura, and 30 migraine with aura. Mean age was 41 ± 6 years and 76% were female. There were no significant demographic differences between groups. The median time to complete the questionnaire was 2.5 minutes (IQR: 1.5-3.4 minutes). Sensitivity of the Penn Online Evaluation of Migraine tool was 42%, 59%, 70%, and 83%, and specificity was 100%, 84%, 93%, and 90% for headache-free controls, migraine without aura, migraine with aura, and migraine overall, respectively.

conclusionsThe Penn Online Evaluation of Migraine web-based questionnaire, and associated analysis routine, identifies headache-free and migraine subjects with good specificity. It may be useful for classifying subjects for large-scale research studies.

Indexed as

AlgorithmsInternetSurveys and QuestionnairesAdultFemaleHumansMaleMigraine DisordersSensitivity and SpecificityclassificationheadacheMigrainescreening

Identifiers

PMID31042063
PMCPMC13231223

What OpenQuestion holds

Textmetadata
LicenceTDM
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.