Evidence map›Paper›PMID 26407570›Full record

SynthesisInflammation research : official journal of the European Histamine Research Society ... [et al.]2015

Association between FCGR3B copy number variations and susceptibility to autoimmune diseases: a meta-analysis.

Young Ho Lee, Sang-Cheol Bae, Young Ho Seo, Jae-Hoon Kim, Sung Jae Choi, Jong Dae Ji, Gwan Gyu Song

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Article
  8. Article
  9. Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
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  13. Observational
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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

7 authors at 2 institutions in 1 country.

Young Ho LeeDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea. lyhcgh@korea.ac.kr.
Sang-Cheol BaeDepartment of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Young Ho SeoDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea.
Jae-Hoon KimDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea.
Sung Jae ChoiDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea.
Jong Dae JiDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea.
Gwan Gyu SongDivision of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 72 Inchon-ro, Seongbuk-gu, Seoul, 136-705, Korea.
Korea University · KRHanyang University Seoul Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study determined whether FCGR3B copy number variations (CNVs) were associated with susceptibility to autoimmune diseases.

methodsA meta-analysis was conducted to determine the association between FCGR3B CNVs and susceptibility to autoimmune diseases by comparing low FCGR3B CN (<2 to ≥2) and high FCGR3B CN (>2 to ≤2).

resultsIn all, 28 comparative studies from 15 reports involving 12,160 patients and 11,103 controls were included in this meta-analysis. The meta-analysis showed a significant association between low FCGR3B CN and autoimmune diseases (OR=1.496, 95% CI=1.301-1.716, p=1.0×10(-9)). Subgroup analysis according to ethnicity indicated an association between low FCGR3B CN and autoimmune diseases in Caucasians (OR=1.482, 95% CI=1.219-1.801, p=7.7×10(-6)) and Asians (OR=1.498, 95% CI=1.306-1.717, p=1.0×10(-9)). Meta-analysis according to the type of autoimmune disease indicated a significant association of low FCGR3B CN with systemic lupus erythematosus (SLE; OR=1.797, 95% CI=1.562-2.068, p<1.0×10(-9)), primary Sjogren's syndrome (pSS; OR=2.263, 95% CI=1.316-3.892, p=0.003), and Wegener's granulomatosis (WG; OR=1.973, 95% CI=1.178-3.302, p=0.010), but not with rheumatoid arthritis (RA; OR=1.333, 95% CI=0.947-1.877, p=0.099). However, the meta-analysis showed no association between high FCGR3B CN and SLE, RA, pSS, and WG.

conclusionsThus, the results of this meta-analysis indicated that low FCGR3B CN increased susceptibility to autoimmune diseases, especially SLE, pSS, and WG.

Indexed as

Autoimmune DiseasesDNA Copy Number VariationsEthnicityGenetic Predisposition to DiseaseGenetic VariationGPI-Linked ProteinsHumansReceptors, IgGFCGR3B protein, humanGPI-Linked ProteinsReceptors, IgGAutoimmune diseasesCopy number variationFCGR3BMeta-analysis

Identifiers

PMID26407570
OpenAlexW2217919454

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.