Evidence map›Paper›PMID 24037913›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Association between vitamin D receptor poly(A) polymorphism and breast cancer risk: a meta-analysis.

Jinjiang Xu, Hongyu Li, Lixue Gu, Xiaoping Zhou

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Review
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.

Jinjiang XuFirst Affiliated Hospital of Liaoning Medical College, Jinzhou, 121001, China.
Hongyu Li
Lixue Gu
Xiaoping Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitamin D receptor (VDR) poly(A) is a common genetic polymorphism in the VDR gene, and it has been implicated to be associated with breast cancer risk. However, previous studies on the association reported inconclusive results. We performed this meta-analysis to comprehensively assess the association. Eligible studies were searched in PubMed and EMBASE databases. Odds ratio (OR) and its 95% confidence interval (95% CI) were used for statistical analysis. A total 6,631 cases and 6,718 controls from 11 case-control studies were finally included into the meta-analysis. Meta-analysis of total eligible studies showed that VDR poly(A) polymorphism was not associated with the risk of breast cancer (S versus L: OR = 0.99, 95% CI of 0.90-1.09, P = 0.84; SS versus LL: OR = 0.96, 95% CI of 0.79-1.18, P = 0.70; SS/LS versus LL: OR = 0.96, 95% CI of 0.83-1.12, P = 0.63; SS versus LL/LS: OR = 1.00, 95% CI of 0.91-1.10, P = 0.98). Meta-analysis of studies with high quality also showed that there was no association between VDR poly(A) polymorphism and breast cancer risk. In addition, in the subgroup analysis by ethnicity, no significant association was found among Caucasians. Therefore, the meta-analysis suggests that VDR poly(A) polymorphism is not associated with the risk of breast cancer. Large well-designed studies are necessary to clarify the possible association in Asians.

Indexed as

Genetic Association StudiesPoly APolymorphism, Single NucleotideBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansOdds RatioPublication BiasReceptors, CalcitriolRiskPoly AReceptors, CalcitriolVDR protein, human

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.