Lack of Association of

Saleem Ullah Shahid, Shabana N A, Steve Humphries

Open access · hybridAbstract read

In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 2 countries.

Saleem Ullah ShahidInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.

Shabana N AInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-6617-1588

Steve HumphriesInstitute of Cardiovascular Sciences, University College London, UK.

University of the Punjab · PKUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is the leading cause of death worldwide. Pakistan faces a high epidemic of CAD, and the disease burden is increasing with the passage of time. Several genetic markers have been reported to be significantly associated with CAD; one of them is the lipoprotein A gene. The aim of the current investigation was to genotype the LPA gene SNPs, rs3798220 and rs10455872, in Pakistani subjects with CAD in a case control study design. The genotyping was done by TaqMan allelic discrimination assay. The results showed that the cases had significantly higher prevalence of diabetes (64.6%), hypertension (62.1%), and smoking habits (29.5%). The level of cholesterol in cases was higher than in controls (208.25 ± 54.11 vs. 175.34 ± 43.51,

Indexed as

Polymorphism, Single NucleotideAgedCase-Control StudiesCholesterol, HDLCoronary Artery DiseaseDisease ProgressionFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansLipoprotein(a)MaleMiddle AgedPakistanRisk FactorsCholesterol, HDLLipoprotein(a)LPA protein, humanTriglycerides

Identifiers

PMID34194581

DOI10.1155/2021/6692273

PMCPMC8214490

OpenAlexW3167984225

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.