Evidence map›Paper›PMID 36581159›Full record

ArticleIndian heart journal

Genotyping Indian patients with primary cardiomyopathies-analysis of database.

Vanya Vaidya, Ramandeep Singh Dhiman, Anupam Mittal, Madhu Khullar, Maryada Sharma, Ajay Bahl

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Cardiogenetics: Closing the knowledge gap in India.Indian pacing and electrophysiology journal
    Article
  4. 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

6 authors at 3 institutions in 2 countries.

Vanya VaidyaDepartment of Cardiology, India.
Ramandeep Singh DhimanDepartment of Cardiology, India.
Anupam MittalDepartment of Translational and Regenerative Medicine, India.
Madhu KhullarDepartment of Experimental Medicine and Biotechnology, India.
Maryada SharmaDepartment of Otolaryngology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ajay BahlDepartment of Cardiology, India. Electronic address: drajaybahl@hotmail.com.
Bethel Baptist Hospital · PHInstitute for Stem Cell Biology and Regenerative Medicine · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEach population has its own unique genotype. Genotyping data on Indian cardiomyopathy patients is lacking.

methodsWe aimed to create and analyse a database of sequence variations in Indian patients with primary cardiomyopathies. This included all data of the cardiomyopathy cohort at the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh. In addition, all published papers in Pubmed containing sequence variations in Indian cardiomyopathy patients till December 2020 using specific search terms were included. Affected genes and sequence variations, methodologies and quality of clinical data was analysed. Novel sequence variations were documented.

resultsA database of 493 datasets including 417 different sequence variations was created. Of these, the PGIMER database had 137 datasets consisting of 94 different variants. Only 63 publications included genotyping data of Indian cardiomyopathy cohort from 2000 to 2020 reporting 335 sequence variations. Five (7.9%) studies were from institutions abroad. Of published variations, 35.1% were novel. Most studies carried out selective genotyping. Comprehensive genotyping using cardiomyopathy panels or whole exome sequencing was reported in only 9 (14.3%) publications.

conclusionDatabase of 417 different sequence variations in Indian cardiomyopathy patients was analysed. Over a third of all reported sequence variations in Indians were novel.

Indexed as

CardiomyopathiesGenotypeHumansCardiomyopathyGenotypingIndianSequence variation

Identifiers

PMID36581159
PMCPMC9986726
OpenAlexW4313254026

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.