Evidence map›Paper›PMID 34518285›Full record

ArticleOpen heart2021

Paediatric/young versus adult patients with long QT syndrome.

Sharen Lee, Jiandong Zhou, Kamalan Jeevaratnam, Wing Tak Wong, Ian Chi Kei Wong, Chloe Mak, Ngai Shing Mok, Tong Liu, Qingpeng Zhang, Gary Tse

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Open heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 26 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

10 authors at 7 institutions in 5 countries.

Sharen Lee *Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration.
Jiandong Zhou *School of Data Science, City University of Hong Kong, Hong Kong, People's Republic of China.
Kamalan JeevaratnamFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK.
Wing Tak WongSchool of Life Sciences, Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Ian Chi Kei WongResearch Department of Practice and Policy, University College London School of Pharmacy, London, UK.
Chloe MakDepartment of Pathology, Hong Kong Children's Hospital, Hong Kong, People's Republic of China.
Ngai Shing MokDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, People's Republic of China.
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, People's Republic of China.
Qingpeng ZhangSchool of Data Science, City University of Hong Kong, Hong Kong, People's Republic of China.
Gary TseCardiovascular Analytics Group, Hong Kong, China-UK Collaboration garytse86@gmail.com g.tse@surrey.ac.uk.ORCID 0000-0001-5510-1253
City University of Hong Kong · HKUniversity of Surrey · GBChinese University of Hong Kong · HKDuchess of Kent Children's Hospital · CNPrincess Margaret Cancer Centre · CASecond Hospital of Tianjin Medical University · CNUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLong QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syndrome in Asia. The present study compared the outcomes between paediatric/young and adult LQTS patients.

methodsThis was a population-based retrospective cohort study of consecutive patients diagnosed with LQTS attending public hospitals in Hong Kong. The primary outcome was spontaneous ventricular tachycardia/ventricular fibrillation (VT/VF).

resultsA total of 142 LQTS (mean onset age=27±23 years old) were included. Arrhythmias other than VT/VF (HR 4.67, 95% CI (1.53 to 14.3), p=0.007), initial VT/VF (HR=3.25 (95% CI 1.29 to 8.16), p=0.012) and Schwartz score (HR=1.90 (95% CI 1.11 to 3.26), p=0.020) were predictive of the primary outcome for the overall cohort, while arrhythmias other than VT/VF (HR=5.41 (95% CI 1.36 to 21.4), p=0.016) and Schwartz score (HR=4.67 (95% CI 1.48 to 14.7), p=0.009) were predictive for the adult subgroup (>25 years old; n=58). A random survival forest model identified initial VT/VF, Schwartz score, initial QTc interval, family history of LQTS, initially asymptomatic and arrhythmias other than VT/VF as the most important variables for risk prediction.

conclusionClinical and ECG presentation varies between the paediatric/young and adult LQTS population. Machine learning models achieved more accurate VT/VF prediction.

Indexed as

Machine LearningPopulation SurveillanceAdolescentAdultAge of OnsetChildElectrocardiographyFemaleFollow-Up StudiesHong KongHumansIncidenceLong QT SyndromeMaleMiddle AgedPrognosisarrhythmiascardiactachycardiaventricularventricular fibrillation

Identifiers

PMID34518285
PMCPMC8438947
OpenAlexW3201585859

What OpenQuestion holds

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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.