Evidence map›Paper›PMID 23636621›Full record

ArticleRheumatology international2014

Distribution of HLA-DRβ1 alleles among well-characterized rheumatoid arthritis patients from Western India.

Devaraj J Prasannavar, A Yeola, V Pradhan, Manisha Patwardhan, A Rajadhyaksha, K Ghosh

Abstract read
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Article in Rheumatology international, 2014. 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
0.4field-weighted citation impact, top 33% 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, 6 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

6 authors at 2 institutions in 2 countries.

Devaraj J PrasannavarNational Institute of Immunohaematology, King Edward Memorial Hospital Campus, 13th Floor, N.M.S. Building, Parel, Mumbai, 400012, India.
A Yeola
V Pradhan
Manisha Patwardhan
A Rajadhyaksha
K Ghosh
King Edward Memorial Hospital · AUNational Institute of Immunohaematology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An association between human leukocyte antigen-DRβ1*04 and rheumatoid arthritis (RA) has been known for more than 25 years. It has been observed in many different populations, and it accounts for approximately one-third of the genetic component of RA susceptibility. Our aim was to study the distribution of HLA-DRβ1 alleles in well-characterized RA patients from Western India. Polymerase chain reaction-based sequence-specific oligonucleotide probing (PCR-SSOP) technique was used to identify HLA-DRβ1 alleles among 80 clinically well-defined patients and 90 normal controls from same ethnicity. A significant increase in the frequency of DRβ1*04 was observed among RA patients (PF% 30 vs. 7.7, OR 4.959, p value 0.00018), whereas DRβ1*03 and *14 were significantly decreased among patients when compared with controls (DRβ1*03, PF% 8.75 vs. 26.6, OR 0.2637, p value 0.00253; DRβ1*14, PF% 17.5 vs. 30.0, OR 0.4949, p value 0.05722). Our results suggest that DRβ1*04 was strongly associated with well-characterized RA patients from Western India, whereas DRβ1*03 and *14 may be protective alleles for RA. The identification of susceptible allele in patients with RA may help physician to make early decisions regarding initiation of early intensive therapy with disease modifying anti-rheumatic drugs and biological agents to decrease disability in RA patients.

Indexed as

AdultAgedArthritis, RheumatoidCase-Control StudiesGene FrequencyGenetic Predisposition to DiseaseHLA-DRB1 ChainsHumansIndiaMaleMiddle AgedOdds RatioPhenotypeProtective FactorsRisk FactorsYoung AdultHLA-DRB1*04 antigenHLA-DRB1 Chains

Identifiers

PMID23636621
OpenAlexW2106026178

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.