Evidence map›Paper›PMID 30297353›Full record

ArticleBMJ open2018

Relationship between right-to-left shunt and migraine in patients with epilepsy: a single-centre, cross-sectional study in China.

Lin Zhang, Xi Zhu, Xiangmiao Qiu, Yajiao Li, Yucheng Chen, Hui Wang, Shixu He, Wanlin Lai, Anjiao Peng, Mingming Ning and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
  5. 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

11 authors at 2 institutions in 2 countries.

Lin ZhangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xi ZhuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiangmiao QiuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yajiao LiDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yucheng ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hui WangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shixu HeDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wanlin LaiDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Anjiao PengDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mingming NingDepartment of Neurology, Cardio-Neurology Clinic, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lei ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-5263-5540
Sichuan University · CNHarvard University · US

Funding

Proteomic Profiling of Patent Foramen Ovale Related Neurovascular InjuryR01NS067139 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI NING, MINGMING · 2010 to 2023
$3.7M
Thrombolysis Profiles in tPA ResponseR01NS093415 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI LO, ENG H., NING, MINGMING · 2015 to 2019
$1.9M
NINDS NIH HHS R01 NS067139NINDS NIH HHS R01 NS093415
6 · The paper itself

Abstract

objectivesTo investigate the relationship between right-to-left shunt and migraine to account for the unexplained high prevalence of migraine in patients with epilepsy.

designThis is a cross-sectional study. The diagnosis and interview process of patients with migraine was based on the International Classification of Headache Disorders-3 beta in patients with epilepsy. Participants underwent transthoracic echocardiography (TTE) with contrast medium to identify right-to-left shunt. The highest number of microbubbles were recorded in the left atrium before the complete microbubble outflow of the right atrium. A moderate-to-large shunt was defined as the presence of 10 or more microbubbles.

settingA single-centre, cross-sectional study in China, 2015-2017.

participantsPatients with epilepsy. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measures were the prevalence of migraine, the prevalence of right-to-left shunt in patients with migraine and those without migraine, and the prevalence of migraine in different degrees of shunting.

resultsThree hundred thirty-nine participants with epilepsy who completed TTE were included in the analysis. The overall prevalence of migraine was 23.0%. One-third of the migraineurs had mild right-to-left shunt and one-fifth of the migraineurs had moderate-to-large right-to-left shunt. Patients with mild shunt did not have a higher prevalence of migraine than those without shunt (26.3% vs 18.1%, p=0.102); however, a higher prevalence of migraine was found in patients with moderate-to-large shunt (39.0% vs 18.1%, OR=2.90, 95% CI=1.41 to 5.98, p=0.003). Patients with migraine and patients without migraine had similar prevalence of mild shunt; however, patients with migraine had more moderate-to-large shunt (20.5% vs 9.6%, p=0.002). Right-to-left shunt and female were factors predicting migraine prevalence.

conclusionsOne-fifth of migraineurs were correlated with moderate-to-large right-to-left shunt which could be an underlying cause of migraine in epilepsy.

Indexed as

EchocardiographyAdolescentAdultChinaCross-Sectional StudiesEpilepsyFemaleHeart DiseasesHumansLogistic ModelsMaleMigraine DisordersPrevalenceYoung Adultepilepsymigraineright-to-left shunt

Identifiers

PMID30297353
PMCPMC6194457
OpenAlexW2896151416

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.