Evidence map›Paper›PMID 32443288›Full record

ArticleMedicine2020

Head-up tilt test induces T-wave alternans in long QT syndrome with KCNQ1 gene mutation: Case report CARE-compliant article.

Beiyin Gu, Tingliang Liu, Lei Yang, Haiyan Zhang, Yili Xin, Jian Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. [Congenital long QT syndrome].Archivos peruanos de cardiologia y cirugia cardiovascular
    Review
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

6 authors at 2 institutions in 2 countries.

Beiyin GuDepartment of Cardiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Tingliang Liu
Lei Yang
Haiyan Zhang
Yili Xin
Jian Wang
Compliant Concept · CHShanghai Children's Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLong QT syndrome (LQTS) is a congenital disorder characterized by a prolongation of the QT interval on electrocardiograms (ECGs) and a propensity to ventricular tachyarrhythmias, which may lead to syncope, cardiac arrest, or sudden death. T-wave alternans (TWA) refers to the periodic beat-to-beat alternation of T-wave shape, polarity and amplitude on surface ECG during regular heart rhythm. In this report, a case of long QT syndrome with KCNQ1 gene mutation induced TWA in the head-up tilt test (HUTT), which has not been reported yet. PATIENT CONCERNS: A 6-year-old boy presented with loss of consciousness twice, 5 months in duration. The boy's ECG showed prolonged QT interval (QTc = 600 ms, QTc = QT/RR). During HUTT test, QT interval was significantly prolonged (QTc = 716 ms) based on macroscopic TWA. DIAGNOSIS: The patient was diagnosed with 1. Long QT syndrome type 1(LQT1); 2. Vasovagal syncope (VVS)

interventions: Metoprolol 12.5 mg was given orally twice a day. The child was told avoid standing for a long time and strenuous exercises. OUTCOMES: There was no syncope or arrhythmia occurred during hospitalization and follow-up for 1 year.

conclusionsVVS may exist in patients with long QT syndrome. Increased sympathetic tone during the early stage of HUTT may induce macroscopic TWA in long QT syndrome with KCNQ1 gene mutation.

Indexed as

ChildElectrocardiographyHumansKCNQ1 Potassium ChannelLong QT SyndromeKCNQ1 Potassium ChannelKCNQ1 protein, human

Identifiers

PMID32443288
PMCPMC7253722
OpenAlexW3026722389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.