Evidence map›Paper›PMID 21886544›Full record

ArticleHand (New York, N.Y.)2010

Role of the HLA System in the Pathogenesis of Dupuytren's Disease.

Sara McCarty, Farhatullah Syed, Ardeshir Bayat

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Sara McCartyUniversity of Manchester, Manchester, UK.
Farhatullah Syed
Ardeshir Bayat
University of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dupuytren's disease (DD) is a familial, fibroproliferative, irreversible, and progressive disease of the palmar fascia, yet with unknown etiology. However, there is compelling evidence which has consistently suggested a genetic ethiopathogenesis given the high occurrence among the Northern European extraction, familial nature, and demonstration of concordance in twins. DD is an incurable, recurrent, and potentially debilitating disease with limited and ineffective treatments. Although a number of possible candidate genes have been investigated including matrix metalloproteinases (MMPs) and transforming growth factor-beta (TGF-β) genes, as yet, no consistent genetic biomarker has been identified for DD. The highly polymorphic human leukocyte antigen (HLA) region is an ideal biomarker target. There have been some coherent data within the literature to suggest a genotype to phenotype association between certain HLA loci and a number of fibrotic disorders such as keloid and scleroderma, markedly with class II molecules and disease pervasiveness and clinical progression. The aim of this review, therefore, was to investigate the evidence indicative of both positive and negative associations between particular HLA alleles and DD. There is a clear association with specific HLA alleles and predilection or protection to DD, though there is a pressing need for further supportive data. The most promising of links to the HLA region in terms of a definitive genetic biomarker is with the class II HLA-DR loci. This paper presents a detailed account of the immunogenetic component of DD and explores the possible mechanisms of association between specific HLA molecules and susceptibility to DD.

Indexed as

CollagenCordDupuytren's contractureDupuytren's diseaseFibrosisHuman leukocyte antigen (HLA)MyofibroblastNodule

Identifiers

PMID21886544
PMCPMC2920393
OpenAlexW1972530097

What OpenQuestion holds

Textmetadata
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.