SynthesisRheumatology international2013
The effect of TGF-β1 polymorphism on systemic sclerosis: a systematic review and pooled analysis of available literature.
Synthesis in Rheumatology international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- The Convergence of Fibrosis and Granulomatous Inflammation: A Case Series on the Diagnostic and Therapeutic Challenges of Systemic Sclerosis and Sarcoidosis Overlap Syndrome.Diagnostics (Basel, Switzerland) · 2026Article
- TGFB1 mRNA expression and frequency of the + 869T>C and + 915G>C genetic variants: impact on risk for systemic sclerosis.Clinical and experimental medicine · 2023Article
- Cytokine polymorphisms in patients with autoimmune hemolytic anemia.Frontiers in immunology · 2023Article
- Anti-fibrotic effect of a selective estrogen receptor modulator in systemic sclerosis.Stem cell research & therapy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transforming growth factor-β1 (TGF-β1) plays an important role in the pathogenesis of systemic sclerosis (SSc). To investigate whether TGF-β1 gene promoter polymorphisms were associated with the susceptibility of SSc, we performed a meta-analysis based on all available studies through PubMed, Elsevier Science Direct, Embase, and Chinese Biomedical, China National Knowledge Infrastructure and Google Scholar with the last report up to March 15, 2013. Crude odds ratios with 95% confidence intervals were used to estimate the strength of the association. A fixed or random effects model was adopted according to heterogeneity test. Heterogeneity among studies was evaluated using I (2) . Meta-regression was used to explore potential sources of between-study heterogeneity. Publication bias was estimated using Begg's and Egger's test. Totally, seven papers with 663 SSc patients and 908 healthy controls were subjected to the final analysis. These studies encompass seven for TGF-β1 codon 10, three for codon 25 and three for -509C/T. We failed to detect any association of these promoter polymorphism with SSc susceptibility. For TGF-β1 codon 10 polymorphism, subgroup analyses by race, genotype testing method and classification of SSc were further performed. Similarly, no association was observed. Significant heterogeneity was detected among the studies in all genetic models of TGF-β1 codon 10 polymorphism. Publication bias was absent. Taken together, our meta-analysis did not provided an evidence of confirming association between TGF-β1 (codon 10, codon 25, -509C/T) gene polymorphism and SSc. Nevertheless, due to smaller sample sizes, larger sample studies including different ethnic groups should be considered in future to confirm our results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.