Correlating thyroid cytology and histopathology: Implications for molecular testing

Overview of attention for article published in Head & Neck, February 2016

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Article details
Title	Correlating thyroid cytology and histopathology: Implications for molecular testing
Published in	Head & Neck, February 2016
DOI	10.1002/hed.24410
Pubmed ID	26900030
Authors	Michael J Reed, Steven M Sperry, Michael P Gailey, Chris S Jensen, Robert A Robinson, Gerry F Funk, Nitin A Pagedar
Abstract	A gene expression classifier (GEC) has been advocated in management of some indeterminate nodules without surgery. We assessed the potential negative predictive value (NPV) of the GEC at our academic center. Retrospectively, all cytologically indeterminate fine-needle aspirates (FNAs) diagnosed by University of Iowa cytopathologists over a 3-year period were identified. Histopathologic findings were recorded. Using published sensitivity and specificity, NPVs were calculated. Of 178 nodules (17, 135, and 26 in classes III, IV, and V, respectively), 71 (40%) were malignant. Prevalence of malignancy was 41%, 29%, and 96% for classes III, IV, and V, respectively. Using sensitivities and specificities for the GEC, NPVs were 91% for the cohort: 88%, 92%, and 26% for classes III, IV, and V, respectively. Molecular testing should be associated with an NPV no lower than that from clinical criteria alone. With the prevalences reported, GEC use may result in more missed cancer diagnoses. © 2016 Wiley Periodicals, Inc. Head Neck, 2016.

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Activity

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

Geographical breakdown
Country	Count	As %
United States	1	100%

Demographic breakdown

Type
Type	Count	As %
Members of the public	1	100%

Mendeley demographics

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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Geographical breakdown

Geographical breakdown
Country	Count	As %
Unknown	15	100%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Other	3	20%
Researcher	2	13%
Student > Postgraduate	2	13%
Student > Bachelor	1	7%
Professor	1	7%
Other	1	7%
Unknown	5	33%

Readers by discipline
Readers by discipline	Count	As %
Medicine and Dentistry	6	40%
Pharmacology, Toxicology and Pharmaceutical Science	1	7%
Agricultural and Biological Sciences	1	7%
Unknown	7	47%

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 25 February 2016.

All research outputs

#22,759,452

of 25,374,647 outputs

Outputs from Head & Neck

#3,229

of 4,000 outputs

Outputs of similar age

#269,177

of 312,602 outputs

Outputs of similar age from Head & Neck

#38

of 77 outputs

Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.

So far Altmetric has tracked 4,000 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.

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We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.