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Malignant risk stratification of thyroid FNA specimens with indeterminate cytology based on molecular testing

Overview of attention for article published in Cancer Cytopathology, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Malignant risk stratification of thyroid FNA specimens with indeterminate cytology based on molecular testing
Published in
Cancer Cytopathology, April 2015
DOI 10.1002/cncy.21554
Pubmed ID
Authors

Svetlana Paskaš, Jelena Janković, Vladan Živaljević, Svetislav Tatić, Vesna Božić, Aleksandra Nikolić, Dragica Radojković, Svetlana Savin, Dubravka Cvejić

Abstract

Fine-needle aspiration (FNA) has been employed for many years for examining thyroid nodules, and the cytology of aspirates is the primary determinant for whether thyroidectomy is indicated. Fifteen to thirty percent of thyroid nodules, not being clearly benign or malignant, fall into an indeterminate category. The main goals of molecular diagnostics for thyroid nodules are to prevent unnecessary surgery in patients with benign nodules and to stop patients with malignant nodules from being subjected to repeated operations. This study was designed to evaluate the diagnostic utility of 4 markers in thyroid FNA cytology via testing for the BRAF V600E mutation and the expression of microRNA-221, microRNA-222, and galectin-3 protein in FNA samples with indeterminate cytology. A predictor model distinguishing benign samples from malignant samples on the basis of the 4 aforementioned markers was formulated. This decision model provided a sensitivity of 73.5%, a specificity of 89.8%, and a diagnostic accuracy of 75.7%. The positive predictive value was 80.6%, and the negative predictive value was 85.5%; this suggested that the prediction had good reliability. One hundred twenty FNA samples were examined, and 62 nodules were classified as benign with the proposed diagnostic algorithm. This resulted in a reduction of the initial 120 patients to 58 and thus decreased by half the number of persons undergoing surgery. Cancer (Cancer Cytopathol) 2015. © 2015 American Cancer Society.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Master 6 13%
Other 5 11%
Student > Ph. D. Student 4 9%
Student > Postgraduate 4 9%
Other 8 17%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Agricultural and Biological Sciences 7 15%
Biochemistry, Genetics and Molecular Biology 6 13%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 August 2018.
All research outputs
#6,176,476
of 25,233,554 outputs
Outputs from Cancer Cytopathology
#826
of 1,431 outputs
Outputs of similar age
#66,611
of 271,707 outputs
Outputs of similar age from Cancer Cytopathology
#12
of 27 outputs
Altmetric has tracked 25,233,554 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 271,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.