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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
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  6. Keywords
  7. Topics
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We are analyzing https://link.springer.com/article/10.1007/s10238-014-0332-3.

Title:
Serum microRNA-21 as a potential diagnostic biomarker for breast cancer: a systematic review and meta-analysis | Clinical and Experimental Medicine
Description:
Serum microRNA-21 (miR-21) expression has been shown to be significantly up-regulated in breast cancer, which implies that it could be a biomarker to discriminate breast cancer patients from healthy controls. We therefore performed this meta-analysis to assess the diagnostic value of miR-21 for breast cancer. Relevant articles were collected from PubMed, Scopus, Embase, the Cochrane Library, BioMed Central, ISI Web of Knowledge, China National Knowledge Infrastructure, Wan Fang Data and Technology of Chongqing databases, from inception to June 10, 2014 by two independent researchers. Diagnostic capacity of miR-21 for breast cancer was assessed using pooled sensitivity and specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic (AUC) and Fagan’s nomogram. Meta-Disc software and Stata SE 12.0 were used to investigate the source of heterogeneity and to perform the meta-analysis. We used six studies with a total of 438 patients and 228 healthy controls in this meta-analysis. The pooled sensitivity, specificity and DOR were 0.79 [95 % confidence interval (CI) 0.66–0.87], 0.85 (95 % CI 0.75–0.91) and 19.46 (95 % CI 8.74–43.30), respectively; positive and negative likelihood ratios were 5 and 0.25, and AUC was 0.89 (95 % CI 0.86–0.91). In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. This meta-analysis suggests that miR-21 is a potential biomarker for early diagnosis of breast cancer with high sensitivity and specificity, and its clinical application warrants further investigation.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Health & Fitness
  • Technology & Computing

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,626,932 visitors per month in the current month.

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How Does Link.springer.com Make Money? {💸}

We see no obvious way the site makes money.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Link.springer.com has a revenue plan, but it's either invisible or we haven't found it.

Keywords {🔍}

cancer, article, breast, google, scholar, pubmed, cas, serum, microrna, diagnostic, metaanalysis, biomarkers, clinical, micrornas, potential, central, clin, circulating, yang, zhang, res, data, biomarker, patients, diagnosis, access, med, privacy, cookies, content, supplementary, material, publish, search, systematic, expression, oncol, test, gao, information, log, journal, research, review, december, dechun, articles, china, chongqing, sensitivity,

Topics {✒️}

month download article/chapter false-positive test results related subjects full article pdf privacy choices/manage cookies serum tumor markers experimental medicine aims breast cancer patients natl cancer inst minimally invasive biomarkers female breast cancer primary breast cancer advanced breast cancer breast cancer compared breast cancer pathogenesis breast cancer management meta-analysis suggests potential noninvasive biomarkers article li human breast cancer diagnostic odds ratio diagnostic accuracy included biomed central molecular oncology laboratory clin cancer res diagnostic test data secretory mirnas dechun zhang cancer biol med negative likelihood ratios asia-pacific region prospective longitudinal study post-operative follow biochim biophys acta stable blood-basedmarkers du gao yn mendoza-ramirez ja real-time pcr circulating microrna-92a rectal cancer biomarker wan fang data test accuracy data serum ca15-3 determination direct serum assay detecting serum micrirna-21 conditions privacy policy check access instant access article clinical potential diagnostic biomarker

Questions {❓}

  • Serum tumor markers in breast cancer: are they of clinical value?

Schema {🗺️}

WebPage:
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         headline:Serum microRNA-21 as a potential diagnostic biomarker for breast cancer: a systematic review and meta-analysis
         description:Serum microRNA-21 (miR-21) expression has been shown to be significantly up-regulated in breast cancer, which implies that it could be a biomarker to discriminate breast cancer patients from healthy controls. We therefore performed this meta-analysis to assess the diagnostic value of miR-21 for breast cancer. Relevant articles were collected from PubMed, Scopus, Embase, the Cochrane Library, BioMed Central, ISI Web of Knowledge, China National Knowledge Infrastructure, Wan Fang Data and Technology of Chongqing databases, from inception to June 10, 2014 by two independent researchers. Diagnostic capacity of miR-21 for breast cancer was assessed using pooled sensitivity and specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic (AUC) and Fagan’s nomogram. Meta-Disc software and Stata SE 12.0 were used to investigate the source of heterogeneity and to perform the meta-analysis. We used six studies with a total of 438 patients and 228 healthy controls in this meta-analysis. The pooled sensitivity, specificity and DOR were 0.79 [95 % confidence interval (CI) 0.66–0.87], 0.85 (95 % CI 0.75–0.91) and 19.46 (95 % CI 8.74–43.30), respectively; positive and negative likelihood ratios were 5 and 0.25, and AUC was 0.89 (95 % CI 0.86–0.91). In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. This meta-analysis suggests that miR-21 is a potential biomarker for early diagnosis of breast cancer with high sensitivity and specificity, and its clinical application warrants further investigation.
         datePublished:2014-12-17T00:00:00Z
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      headline:Serum microRNA-21 as a potential diagnostic biomarker for breast cancer: a systematic review and meta-analysis
      description:Serum microRNA-21 (miR-21) expression has been shown to be significantly up-regulated in breast cancer, which implies that it could be a biomarker to discriminate breast cancer patients from healthy controls. We therefore performed this meta-analysis to assess the diagnostic value of miR-21 for breast cancer. Relevant articles were collected from PubMed, Scopus, Embase, the Cochrane Library, BioMed Central, ISI Web of Knowledge, China National Knowledge Infrastructure, Wan Fang Data and Technology of Chongqing databases, from inception to June 10, 2014 by two independent researchers. Diagnostic capacity of miR-21 for breast cancer was assessed using pooled sensitivity and specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic (AUC) and Fagan’s nomogram. Meta-Disc software and Stata SE 12.0 were used to investigate the source of heterogeneity and to perform the meta-analysis. We used six studies with a total of 438 patients and 228 healthy controls in this meta-analysis. The pooled sensitivity, specificity and DOR were 0.79 [95 % confidence interval (CI) 0.66–0.87], 0.85 (95 % CI 0.75–0.91) and 19.46 (95 % CI 8.74–43.30), respectively; positive and negative likelihood ratios were 5 and 0.25, and AUC was 0.89 (95 % CI 0.86–0.91). In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. This meta-analysis suggests that miR-21 is a potential biomarker for early diagnosis of breast cancer with high sensitivity and specificity, and its clinical application warrants further investigation.
      datePublished:2014-12-17T00:00:00Z
      dateModified:2014-12-17T00:00:00Z
      pageStart:29
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         Breast cancer
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         Diagnosis
         Meta-analysis
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         Oncology
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      name:Jinmei Yang
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               name:Department of Pathogenic Biology, Molecular Oncology Laboratory, Chongqing Medical University, Chongqing, People’s Republic of China
               type:PostalAddress
            type:Organization
      name:Jiesheng Zhen
      affiliation:
            name:Renmin Hospital of WuHan University
            address:
               name:Clinical Laboratory, Renmin Hospital of WuHan University, Wuhan, People’s Republic of China
               type:PostalAddress
            type:Organization
      name:Dechun Zhang
      affiliation:
            name:Chongqing Medical University
            address:
               name:Department of Pathogenic Biology, Molecular Oncology Laboratory, Chongqing Medical University, Chongqing, People’s Republic of China
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      name:Clinical Laboratory, Renmin Hospital of WuHan University, Wuhan, People’s Republic of China
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External Links {🔗}(145)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
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CDN Services {📦}

  • Crossref

4.5s.