Evidence map›Paper›PMID 35633988›Full record

ArticleAvicenna journal of medical biotechnology

Strong Association of Polymorphism in

Bahram Pakzad, Hamed Moghadammanesh, Mansour Salesi, Rasoul Salehi

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% 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, 3 citations in OpenAlex.

  1. Article
  2. The Impact ofDiagnostics (Basel, Switzerland) · 2023
    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

4 authors at 1 institution in 1 country.

Bahram PakzadDivision of Rheumatology, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamed MoghadammaneshDivision of Rheumatology, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mansour SalesiDivision of Rheumatology, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Rasoul SalehiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The high heritability of Rheumatoid Arthritis (RA) has been estimated from different studies. Recently, Genome-Wide Association Studies (GWAS) show a large number of Single Nucleotide Polymorphisms (SNPs) loci affecting susceptibility to RA. The rs934734 polymorphism in the Methods: One hundred fourteen RA patients and 120 healthy counterparts were recruited in this case-control study to evaluate rs934734 genotypes using the real-time PCR High Resolution Melting method (HRM). Results: Logistic regression analysis demonstrated that GG and AG genotypes compared with AA genotype increase the risk of RA (GG Conclusion: Our findings suggest that rs934734 in

Indexed as

Autoimmune diseaseGenotypeIranRheumatoid arthritisSingle nucleotide polymorphisms

Identifiers

PMID35633988
PMCPMC9077652
OpenAlexW4221019742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.