Evidence map›Paper›PMID 33415164›Full record

ArticleBioMed research international2020

The Value of Contrast-Enhanced Transesophageal Echocardiography in the Detection of Cardiac Right-to-Left Shunt Related with Cryptogenic Stroke and Migraine.

Huiqin Zhang, Wenyan Huang, Tingyu Lan, Meng Zhang, Jing Yang, Hongxia Zhang, Lijuan Du

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 37% 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, 8 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Huiqin ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.
Wenyan HuangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.
Tingyu LanDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.
Meng ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.
Jing YangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.
Hongxia ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.ORCID https://orcid.org/0000-0001-6129-2033
Lijuan DuDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 119 West Road of South 4th Ring Road, Fengtai District, Beijing, China 100160.ORCID https://orcid.org/0000-0002-0153-6136
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the characteristics of right-to-left shunt (RLS) in patients with cryptogenic stroke and migraine by contrast-enhanced transesophageal echocardiography (c-TEE).

methodsThe study population consisted of 330 patients with cryptogenic stroke and 330 patients with migraine who suspected PFO. All of them received c-TEE examination successfully. In terms of c-TEE analyses, RLS could be diagnosed when microbubbles were visualized in the transition from the right atrium to the left atrium. For semiquantitative analysis, a small amount of RLS was grade 1, indicating 1-10 microvesicles per frame could be seen in the left atrium, a moderate amount of RLS was grade 2, indicating 11-30 microvesicles per frame could be seen in the left atrium, and a large amount of RLS was grade 3, indicating more than 30 microvesicles per frame, or the left atrium is filled with microvesicles.

resultsA total of 660 patients were analyzed in the study. PFO-RLS was detected in 348 (348/660, 52.7%) cases by TEE, while in 392 (392/660, 59.3%) cases by c-TEE. Simultaneously, P-RLS was detected in 239 (239/660, 36.2%) cases by c-TEE. Among 330 patients with cryptogenic stroke, PFO-RLS was detected in 198 cases; according to the c-TTE method (198/330, 60.0%), concurrently, 83 participants suffered from PFO-RLS and P-RSL (83/330, 25.1%), including 1 case with PFO and pulmonary arteriovenous fistula. Among 330 patients with migraine, PFO-RLS was detected in 194 cases; according to the c-TTE method (194/330, 58.7%), specifically, 90 participants suffered from PFO-RLS and P-RSL (90/330, 27.2%). There was no statistical significance between the two groups. P-RLS singly was detected in 28 cases with cryptogenic stroke, while in 38 cases with migraine, excluding from pulmonary arteriovenous fistula by CTA examination. In addition, semiquantitative results on c-TTE grading of RLS were compared between the two groups: grade 1 RLS in the migraine group (144/322) was significantly higher than that in the cryptogenic stroke group (71/309) (

conclusionsc-TEE can increase the positive rate of PFO diagnosis compared with TEE color Doppler. There is no significant difference in the incidence of PFO-PLS and P-RLS between the cryptogenic stroke group and the migraine group. The grades 2-3 RLS are mainly detected in the cryptogenic stroke group, while grades 1-2 RLS are mostly detected in the migraine group.

Indexed as

Echocardiography, TransesophagealAdultContrast MediaFemaleForamen Ovale, PatentHumansMaleMiddle AgedMigraine DisordersStrokeContrast Media

Identifiers

PMID33415164
PMCPMC7752281
OpenAlexW3111430947

What OpenQuestion holds

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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.