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Mendeley readers
Attention Score in Context
| Title |
Association between cyclin D1 G870A polymorphism and cervical cancer risk: a cumulative meta-analysis involving 2,864 patients and 3,898 controls
|
|---|---|
| Published in |
Diagnostic Pathology, September 2014
|
| DOI | 10.1186/s13000-014-0168-x |
| Pubmed ID | |
| Authors |
Yuan-Yuan Hu, Rong Zheng, Chong Guo, Yu-Ming Niu |
| Abstract |
BackgroundAssociation between Cyclin D1 (CCND1) polymorphism and cervical cancer risk are conflicting with published articles. We performed a meta-analysis to investigate the association between CCND1 G870A polymorphism and cervical cancer risk.MethodsPubMed, Embase and CNKI data were researched to conduct a meta-analysis on the associations between CCND1 G870A polymorphism and cervical cancer risk. Ten published case¿control studies including 2,864 patients with cervical cancer and 3,898 controls were collected in this meta-analysis. Odds ratio (OR) with 95% confidence interval (CI) were applied to assess the relationship; meta-regression, sensitivity analysis and cumulative analysis were also conducted to guarantee the strength of results.ResultsOverall, no significant association between CCND1 G870A polymorphism and cervical cancer risk were found in allele contrast (A vs. G: OR¿=¿1.02, 95% CI¿=¿0.88-1.19, P¿=¿0.76 I 2 ¿=¿74.5%), codominant model (GA vs. GG: OR¿=¿0.98, 95% CI¿=¿0.77-1.26, P¿=¿0.90 I 2 ¿=¿69.1%; AA vs GG: OR¿=¿1.03, 95% CI¿=¿0.75-1.41, P¿=¿0.85 I 2 ¿=¿75.9%), dominant model (GA + AA vs. GG: OR¿=¿1.00, 95% CI¿=¿0.78-1.28, P¿=¿0.99 I 2 ¿=¿72.3%) and recessive model (AA vs GG + GA: OR¿=¿1.06, 95% CI¿=¿0.85-1.23, P¿=¿0.62, I 2 ¿=¿70.1%). Similarly, in the stratified analysis by ethnicity, study design and genotyping type, no significant association detected in all genetic models either.ConclusionsOur meta-analysis indicated that CCND1 G870A might be not the crucial risk factor for the development of cervical cancer.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_168. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Professor | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Medicine and Dentistry | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Social Sciences | 1 | 9% |
| Sports and Recreations | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from Diagnostic Pathology
#758
of 1,123 outputs
Outputs of similar age
#170,436
of 238,994 outputs
Outputs of similar age from Diagnostic Pathology
#27
of 39 outputs
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So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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