Evidence map›Paper›PMID 23645040›Full record

SynthesisMolecular biology reports2013

Association of TGF-β1 +869C/T promoter polymorphism with susceptibility to autoimmune diseases: a meta-analysis.

Li Zhang, Jun-wei Yan, Ying-Xin Wang, Ya-nan Wan, Jian-ping Li, Ping Liu, Bin Xu, Bing-xiang Wang, Wen-jia Peng, Fa-ming Pan and 1 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

11 authors.

Li ZhangMedical Genetics Center in Anhui Medical College, Hefei, 230061, China.
Jun-wei Yan
Ying-Xin Wang
Ya-nan Wan
Jian-ping Li
Ping Liu
Bin Xu
Bing-xiang Wang
Wen-jia Peng
Fa-ming Pan
Jing Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many case-control studies have investigated the role of TGF-β1 gene +869C/T promoter polymorphism in autoimmune diseases, but the results are inconsistent. To clarify this point, we performed a meta-analysis based on all available studies in Pubmed, Elsevier Science Direct, Google Searching, Chinese Biomedical Literature Database, Chinese National Knowledge Infrastructure. Crude odds ratios (ORs) with 95% confidence intervals were calculated to estimate the strength of the association. A fixed or random effects model was used on the basis of heterogeneity. A total of 21 papers including 2,693 cases and 3,036 controls were considered in the current meta-analysis. These studies encompass two ankylosing spondylitis (AS), eight rheumatoid arthritis (RA), four systemic lupus erythematosus (SLE), and seven systemic sclerosis (SSc). The results showed that TGF-β1 +869C/T promoter polymorphism were associated with susceptibility to RA (CC vs. TT: OR=0.65, 95% CI=0.48-0.88, P=0.005; CC vs. CT+TT: OR=0.56, 95% CI=0.45-0.69, P=0.000; C vs. T: OR=0.81, 95% CI=0.71-0.93, P=0.003). When stratified by race, significant association was observed only in Asian population. However, we failed to reveal the association between this gene promoter polymorphism and AS, SLE, and SSc. Therefore, this meta-analysis suggests a possible association between TGF-β1 +869C/T promoter polymorphism and RA, especially in Asian population.

Indexed as

Asian PeopleAutoimmune DiseasesGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansLinear ModelsOdds RatioPolymorphism, Single NucleotidePromoter Regions, GeneticTransforming Growth Factor beta1Transforming Growth Factor beta1

Identifiers

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.