Evidence map›Paper›PMID 23104471›Full record

SynthesisMolecular biology reports2013

Transforming growth factor-β genetic polymorphisms on development of liver cirrhosis in a meta-analysis.

Xiao-Dan Wu, Kai Zeng, Can-Sheng Gong, Jinhua Chen, Yan-Qing Chen

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Xiao-Dan WuDepartment of Anesthesiology, Fujian Provincial Hospital, Fujian Provincial Clinical Medical College, Fujian Medical University, Fuzhou 350001, Fujian, China.
Kai Zeng
Can-Sheng Gong
Jinhua Chen
Yan-Qing Chen
Fujian Medical University · CNFujian Provincial Hospital · CNFuzhou General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transforming growth factor-β (TGF-β) protein has been supposed to be a risk factor for liver cirrhosis; however, the associations between its genes (TGF-β -509C>T and +869T>C) and liver cirrhosis remained unclear. This study was to quantitatively analyze the correlations by using a meta-analysis. Pubmed, Embase, Wanfang databases were retrieved up to November 1st, 2011. Odds ratio (OR) and 95 % confidence interval (95 %CI) were used to demonstrate the strength of association, and P < 0.05 of Z test indicated statistical significance. Combined analyses were performed by using fixed or random-effect model, depending on between-study heterogeneity. Seven studies were for TGF-β -509C>T polymorphism, and eight studies were for +869T>C polymorphism. Combined results indicated that neither TGF-β -509C>T nor +869T>C polymorphisms were associated with risk of liver cirrhosis [OR (95 % CI): 0.79 (0.60-1.04) for CT vs. TT of -509C>T and 0.87 (0.68-1.12) for CT vs. CC of +869T>C], with no between-study heterogeneity. In addition, subgroups analyses still inferred that two polymorphisms were not associated with risk of liver cirrhosis for HBV-infected patients, Asians and for Population-based studies. This meta-analysis indicated that neither TGF-β -509C>T nor +869T>C polymorphisms were associated with risk of liver cirrhosis, regardless of HBV infection or not.

Indexed as

Polymorphism, Single NucleotideAllelesCase-Control StudiesGenetic HeterogeneityGenetic Predisposition to DiseaseGenotypeHumansLiver CirrhosisOdds RatioPublication BiasTransforming Growth Factor betaTransforming Growth Factor beta

Identifiers

PMID23104471
OpenAlexW2045952503

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.