Evidence map›Paper›PMID 22782686›Full record

SynthesisJournal of neural transmission (Vienna, Austria : 1996)2013

Meta-analysis of the transforming growth factor-β1 polymorphisms and susceptibility to Alzheimer's disease.

Wei-wei Chang, Liu Zhang, Yue-long Jin, Ying-shui Yao

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of neural transmission (Vienna, Austria : 1996), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors at 2 institutions in 1 country.

Wei-wei ChangDepartment of Preventive Medicine, Wannan Medical College, Wuhu 241002, Anhui, China.
Liu Zhang
Yue-long Jin
Ying-shui Yao
Wannan Medical College · CNHonghu Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between transforming growth factor-β1 (TGF-β1) gene polymorphisms and Alzheimer's disease (AD) risk has been widely reported, but results were somewhat controversial and underpowered. To derive a more precise estimation of the relationship between TGF-β1 polymorphisms and AD risk, we conducted a meta-analysis of all available case-control studies relating the T869C and/or C-509T polymorphisms of the TGF-β1 gene to the risk of developing AD. Eligible articles were identified by search of databases including Pub Med, Web of Science, the Chinese Biomedical Database (CBM), Chinese National Knowledge Infrastructure (CNKI) and the Wan Fang (Chinese) for the period up to March 2012. Finally, a total of 14 articles were identified, 10 with 1,657 cases and 6,971 controls for T869C polymorphism and 8 with 2,618 cases and 7,473 controls for C-509T polymorphism. The pooled ORs were performed for the allele contrasts, additive genetic model, dominant genetic model and recessive genetic model, respectively. Subgroup analysis was also performed by ethnicity. With respect to T869C and C-509T polymorphism, the combined results showed that there were no significant differences in genotype distribution between AD and control based on all studies. When stratifying for the race, there were also no statistically significant differences in genotype distribution between AD and controls. This meta-analysis did not provide an evidence of confirming association between the T869C and/or C-509T polymorphisms of the TGF-β1 gene and AD.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAllelesAlzheimer DiseaseGene FrequencyGenotypeHumansTransforming Growth Factor beta1Transforming Growth Factor beta1

Identifiers

PMID22782686
OpenAlexW2079536762

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.