Evidence map›Paper›PMID 27485560›Full record

ArticleIndian pacing and electrophysiology journal

Phenotype guided characterization and molecular analysis of Indian patients with long QT syndromes.

Bijal Vyas, Ratna D Puri, Narayanan Namboodiri, Renu Saxena, Mohan Nair, Prahlad Balakrishnan, M P Jayakrishnan, Ameya Udyavar, Ravi Kishore, Ishwar C Verma

Open access · goldAbstract read
In one paragraph

Article in Indian pacing and electrophysiology journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 14 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 6 institutions in 1 country.

Bijal VyasCentre of Medical Genetics, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, India. Electronic address: bijalvyas86@gmail.com.
Ratna D PuriCentre of Medical Genetics, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, India. Electronic address: ratnadpuri@yahoo.com.
Narayanan NamboodiriCardiology, Sree Chitra Institute for Medical Sciences & Technology, Kerala, India. Electronic address: kknnamboodiri@gmail.com.
Renu SaxenaCentre of Medical Genetics, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, India. Electronic address: renu2006@gmail.com.
Mohan NairCardiology, Holy Family Hospital, Okhla Road, New Delhi, India. Electronic address: mohancardio@gmail.com.
Prahlad BalakrishnanCentre of Medical Genetics, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, India. Electronic address: bprahlad@gmail.com.
M P JayakrishnanPediatrics, Calicut Medical College, Calicut, Kerala, India. Electronic address: mp.jayakrishnan@gmail.com.
Ameya UdyavarCardiology, P.D. Hinduja & National Research Centre, Mahim, Mumbai, India. Electronic address: drameya@gmail.com.
Ravi KishoreCardiology and Electrophysiology, Narayana Hrudayalya, Bangalore, India. Electronic address: ravi.kishore@healthcity.ky.
Ishwar C VermaCentre of Medical Genetics, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, India. Electronic address: dr_icverma@yahoo.com.
Sir Ganga Ram Hospital · INGovernment Medical College · INHoly Family Hospital · INNarayana Health · INP. D. Hinduja Hospital and Medical Research Centre · INSree Chitra Thirunal Institute for Medical Sciences and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong QT syndromes (LQTS) are characterized by prolonged QTc interval on electrocardiogram (ECG) and manifest with syncope, seizures or sudden cardiac death. Long QT 1-3 constitute about 75% of all inherited LQTS. We classified a cohort of Indian patients for the common LQTS based on T wave morphology and triggering factors to prioritize the gene to be tested. We sought to identify the causative mutations and mutation spectrum, perform genotype-phenotype correlation and screen family members.

methodsThirty patients who fulfilled the criteria were enrolled. The most probable candidate gene among KCNQ1, KCNH2 and SCN5A were sequenced.

resultsOf the 30 patients, 22 were classified at LQT1, two as LQT2 and six as LQT3. Mutations in KCNQ1 were identified in 17 (77%) of 22 LQT1 patients, KCNH2 mutation in one of two LQT2 and SCN5A mutations in two of six LQT3 patients. We correlated the presence of the specific ECG morphology in all mutation positive cases. Eight mutations in KCNQ1 and one in SCN5A were novel and predicted to be pathogenic by in-silico analysis. Of all parents with heterozygous mutations, 24 (92%) of 26 were asymptomatic. Ten available siblings of nine probands were screened and three were homozygous and symptomatic, five heterozygous and asymptomatic.

conclusionsThis study in a cohort of Asian Indian patients highlights the mutation spectrum of common Long QT syndromes. The clinical utility for prevention of unexplained sudden cardiac deaths is an important sequel to identification of the mutation in at-risk family members.

Indexed as

IndiaKCNH2KCNQ1MutationsNovelSCN5A

Identifiers

PMID27485560
PMCPMC4936664
OpenAlexW2320629847

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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.