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Circulating microRNA-21 as a biomarker for the detection of various carcinomas: an updated meta-analysis based on 36 studies

Overview of attention for article published in Tumor Biology, December 2014
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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77 Dimensions

Readers on

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82 Mendeley
Title
Circulating microRNA-21 as a biomarker for the detection of various carcinomas: an updated meta-analysis based on 36 studies
Published in
Tumor Biology, December 2014
DOI 10.1007/s13277-014-2803-2
Pubmed ID
Authors

Kailiu Wu, Liwen Li, Siyi Li

Abstract

Cancer is a class of diseases with high mortality rate, characterized by unregulated cell growth. Early diagnosis of cancer is currently the most effective method to prevent cancer development and improve the survival rate of patients. Traditional diagnostic methods such as biopsy usually provoke discomfort and unpleasant experience. Recently, microRNAs (miRNAs) were widely reported to be potential biomarkers to detect cancers without invasiveness. MicroRNA-21 (miRNA-21, miR-21) is one of the most prevalent miRNAs. This meta-analysis aims to make a comprehensive analysis of the potential role of circulating miR-21 as a biomarker in human carcinoma diagnosis. A total of 36 articles involving 2920 cancer patients and 1986 healthy controls with regard to the diagnostic value of the circulating miR-21 for cancer detection were selected from online bibliographic databases. For pooled analysis, the sensitivity, specificity, and other basic characteristics were extracted from the 36 included articles. Then, bivariate random-effects model was selected to gain pooled results. Furthermore, to explore the sources of heterogeneity, we conducted stratified and meta-regression analyses based on different race/sample groups. The pooled characteristics of all included articles were as follows: sensitivity, 0.78 (95 % confidence intervals (CI), 0.73-0.82); specificity, 0.82 (95 % CI, 0.79-0.86); positive likelihood ratio (PLR), 4.4 (95 % CI, 3.6-5.4); negative likelihood ratio (NLR), 0.26 (95 % CI, 0.21-0.33); diagnostic odds ratio (DOR), 17 (95 % CI, 12-24); and area under the curve (AUC), 0.87 (95 % CI, 0.84-0.90). The subgroup analyses results based on different ethnic populations revealed that the diagnostic accuracy of miR-21 tends to be higher in Asian populations than in Caucasian populations. Furthermore, another subgroup analysis performed on sample types suggested that the serum-based specimen used in cancer diagnosis appeared to be more accurate than the plasma-based specimen. Our meta-analysis shows that the circulating miR-21 may be a potential biomarker as diagnostic tool for early-stage cancer diagnosis.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Student > Master 16 20%
Researcher 13 16%
Student > Bachelor 9 11%
Lecturer 4 5%
Other 13 16%
Unknown 11 13%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Biochemistry, Genetics and Molecular Biology 17 21%
Agricultural and Biological Sciences 14 17%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Chemistry 4 5%
Other 8 10%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 December 2014.
All research outputs
#7,205,293
of 22,775,504 outputs
Outputs from Tumor Biology
#360
of 2,622 outputs
Outputs of similar age
#100,335
of 353,184 outputs
Outputs of similar age from Tumor Biology
#21
of 166 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.