Evidence map›Paper›PMID 26417306›Full record

ArticleEXCLI journal2014

Atrial natriuretic peptide gene - a potential biomarker for long QT syndrome.

Sameera Fatima Qureshi, Altaf Ali, Ananthapur Venkateshwari, Hygriv Rao, M P Jayakrishnan, Calambur Narasimhan, Jayaprakash Shenthar, Kumarasamy Thangaraj, Pratibha Nallari

Open access · greenAbstract read
In one paragraph

Article in EXCLI journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

9 authors at 2 institutions in 1 country.

Sameera Fatima QureshiDepartment of Genetics, University College of Science, Osmania University, Hyderabad-500007, Andhra Pradesh, India.
Altaf AliDepartment of Genetics, University College of Science, Osmania University, Hyderabad-500007, Andhra Pradesh, India.
Ananthapur VenkateshwariInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Andhra Pradesh, India.
Hygriv RaoInstitute of Genetics and Krishna Institute of Medical Sciences, Andhra Pradesh, India.
M P JayakrishnanInstitute of Maternal and Child Health, Calicut Medical College, Calicut 8, Kerala, India.
Calambur NarasimhanCare Hospital, Hyderabad, Andhra Pradesh, India.
Jayaprakash ShentharSri Jayadeva Institute of Cardiovascular Science and Research, Karnataka, India.
Kumarasamy ThangarajCentre for Cellular and Molecular Biology, Andhra Pradesh, India.
Pratibha NallariDepartment of Genetics, University College of Science, Osmania University, Hyderabad-500007, Andhra Pradesh, India.
CARE Hospitals · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study highlights the possible implication of NPPA (natriuretic peptide precursor A) gene in the etiology of Long QT syndrome (LQTS) by population-based as well as familial study. Three SNPs of NPPA - C-664G, C1363A and T1766C were examined by molecular analyses in LQTS, controls and first degree relatives (FDRs). This study revealed a possible association of 1364 C>A SNP 'C' allele with LQTS (p = 0.0013). All three SNPs were in tight linkage disequilibrium. The familial study highlights the association of NPPA SNP with cLQTS and implicating it as a potential biomarker in South Indian population.

Indexed as

atrial natriuretic peptidebiomarkercardiogenesislong QT syndromepolymorphisms

Identifiers

PMID26417306
PMCPMC4464516
OpenAlexW2409006704

What OpenQuestion holds

Textmetadata
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.