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Combining serum miRNAs, CEA, and CYFRA21-1 with imaging and clinical features to distinguish benign and malignant pulmonary nodules: a pilot study

Overview of attention for article published in World Journal of Surgical Oncology, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

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1 tweeter
patent
1 patent

Citations

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19 Dimensions

Readers on

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17 Mendeley
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Title
Combining serum miRNAs, CEA, and CYFRA21-1 with imaging and clinical features to distinguish benign and malignant pulmonary nodules: a pilot study
Published in
World Journal of Surgical Oncology, May 2017
DOI 10.1186/s12957-017-1171-y
Pubmed ID
Authors

Xianfeng Li, Qinghua Zhang, Xiayun Jin, Lihua Cao

Abstract

BACKGROUND: Our study was designed to improve the accuracy of determining whether pulmonary nodules are benign or malignant. We evaluated the clinical and imaging features and serum markers: neuron specific enolase (NSE), carcino-embryonic antigen (CEA), cytokeratin fragment antigen 21-1 (CYFRA 21-1), miRNA-21-5p, and miR-574-5pof in 39 patients with pathology information. Factors that differed significantly between those with benign versus malignant pulmonary nodules were used to establish a prediction model for identifying malignant nodules. The studied nodules were 51.3% malignant and 48.7% benign. Age, smoking status, nodule diameter, history of emphysema, vascular sign, burr sign, CYFRA21-1, CEA, miRNA-21-5p, and miRNA-574-5p differed significantly between the benign and malignant nodule groups. Serum levels of CYRFA21-1 and CEA could be used to distinguish between malignant and benign nodules with a positive predictive value (PPV) of 80.0%, a negative predictive value (NPV) of 84.2%, and an area under the receiver operating characteristics curve (AUC) of 0.863. Using the serum levels of miRNA-21-5p and miRNA-574-5p, the PPV was 55%, the NPV was 84.2%, and the AUC was 0.797. When all four serum markers were combined, the PPV was 80%, the NPV was 89.5%, and the AUC was 0.921. We established a prediction model for malignant nodules, including clinical features, imaging features, and serum markers. In cross-validation, the ratio of discriminant conformance was 95%. Serum levels of miRNA-21-5p and miRNA-574-5p are significantly higher in patients with malignant nodules than in patients with benign nodules and are potential serum biomarkers. Our prediction model could improve malignant nodule diagnosis.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 24%
Student > Master 4 24%
Student > Ph. D. Student 2 12%
Professor 1 6%
Other 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 8 47%
Environmental Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 12%
Unknown 3 18%

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 19 May 2021.
All research outputs
#6,641,752
of 21,201,553 outputs
Outputs from World Journal of Surgical Oncology
#212
of 1,877 outputs
Outputs of similar age
#103,582
of 287,641 outputs
Outputs of similar age from World Journal of Surgical Oncology
#1
of 3 outputs
Altmetric has tracked 21,201,553 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,877 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 88% 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 287,641 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 63% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them