Evidence map›Paper›PMID 35173673›Full record

ArticleFrontiers in neurology2022

The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients With Migraine.

Jr-Wei Wu, Pi-Yi Lai, Yung-Lin Chen, Yen-Feng Wang, Jiing-Feng Lirng, Shu-Ting Chen, Kuan-Lin Lai, Wei-Ta Chen, Yu-Te Wu, Shuu-Jiun Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

10 authors at 2 institutions in 1 country.

Jr-Wei WuDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Pi-Yi LaiInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yung-Lin ChenInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yen-Feng WangDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Jiing-Feng LirngCollege of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shu-Ting ChenCollege of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Kuan-Lin LaiDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Wei-Ta ChenDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu-Te WuInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shuu-Jiun WangDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify the neuroimaging predictors for the responsiveness of patients to sumatriptan and use an independent cohort for external validation.

methodsStructuralized headache questionnaire and 3-Tesla brain magnetic resonance imaging were performed in migraine patients. Regional brain volumes were automatically calculated using FreeSurfer version 6.0, including bilateral amygdala, anterior cingulated cortex, caudate, putamen, precuneus, orbitofrontal cortex, superior frontal gyri, middle frontal gyri, hippocampus, and parahippocampus. A sumatriptan-responder was defined as headache relief within 2 h after the intake of sumatriptan in at least two out of three treated attacks. We constructed a prediction model for sumatriptan response using the regional brain volume and validated it with an independent cohort of migraine patients.

resultsA total of 105 migraine patients were recruited, including 73 sumatriptan responders (69.5%) and 32 (30.5%) non-responders. We divided the migraine patients into derivation (

conclusionOur study showed that left hippocampal volume is helpful to identify sumatriptan non-responders. This proof-of-concept study shows that left hippocampal volume could be used to predict the treatment response to sumatriptan in migraine patients.

Indexed as

brain MRIhippocampusmigraineprediction modelsumatriptan

Identifiers

PMID35173673
PMCPMC8841861
OpenAlexW4210683290

What OpenQuestion holds

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LicenceCC BY
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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.