Evidence map›Paper›PMID 29843469›Full record

ArticleJournal of cardiovascular development and disease2018

Chandan K Jha, Rashid Mir, Naina Khullar, Shaheena Banu, S M S Chahal

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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  10. Association ofIndian journal of nephrology
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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

5 authors at 3 institutions in 2 countries.

Chandan K JhaDepartment of Human Genetics, Punjabi University, Punjab 147002, India. chandujha58@gmail.com.ORCID 0000-0003-1080-8778
Rashid MirDepartment of Medical Lab Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia. rashidmirtabuk@gmail.com.
Naina KhullarDepartment of Zoology, Mata Gujri College, Fatehgarh Sahib 140407, India. naina306@gmail.com.
Shaheena BanuSri Jayadeva Institute of Cardiovascular science & Research and Karnataka Institute of Diabetology, Bangalore 560069, India. shanbanubanu@gmail.com.
S M S ChahalDepartment of Human Genetics, Punjabi University, Punjab 147002, India. smschahal1@gmail.com.
Punjabi University · INSri Jayadeva Institute of Cardiovascular Sciences and Research · INUniversity of Tabuk · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe low-density lipoprotein receptor is responsible for the binding and uptake of plasma LDL particles and plays a critical role in maintaining cellular cholesterol homeostasis. METHODOLOGY: This study recruited 200 coronary artery disease patients and 200 healthy individuals. Genotyping of LDLR-rs688C > T gene variations was performed using the allele specific PCR method. Correlation of LDLR-rs688C > T gene variants with different clinicopathological features of coronary artery disease patients was performed. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were applied to evaluate the correlation of this microRNA polymorphism with coronary artery disease risk.

resultsA significant difference was observed in genotype distribution among the coronary artery disease and matched healthy controls (

conclusionThe findings indicated that

Indexed as

allele specific PCRCAD—coronary artery diseaseCI—confidence intervalLDLR—low-density lipoprotein receptorLDLR rs688C/TOR—odds ratioSNP—single-nucleotide polymorphism

Identifiers

PMID29843469
PMCPMC6023456
OpenAlexW2805463799

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.