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Mendeley readers
Attention Score in Context
| Title |
Cancer Rate of the Indeterminate Lesions at Low or High Risk According to Italian System for Reporting of Thyroid FNA
|
|---|---|
| Published in |
Frontiers in endocrinology, July 2018
|
| DOI | 10.3389/fendo.2018.00371 |
| Pubmed ID | |
| Authors |
Stefano Valabrega, Giuliano Santolamazza, Francesco Romanelli, Giorgia Scapicchio, Francesco D'Angelo, Carlo Bellotti, Paolo Aurello, Luciano Izzo, Maria R. Giovagnoli, Pierpaolo Trimboli |
| Abstract |
Background: Italian consensus for the classification and reporting of thyroid cytology (ICCRTC) has been used in almost all Italian institutions since 2014. High reliability of ICCRTC in classifying low and high risk indeterminate nodules (Tir 3A and Tir 3B, respectively) was demonstrated. Here we reviewed our casuistry of thyroid indeterminate lesions to analyze the histologic outcome. Methods: All lesions undergone FNA and final histology at S. Andrea Hospital of Rome after a cytologic assessment of Tir 3A and Tir 3B, according to ICCRTC, were included in the study. Results: A number of 157 indeterminate FNA was found after the introduction of ICCRTC. Of these, 75 undergone surgery and were finally included for the study. At histology we found a 33.3% of cancers and a 67.7% of benign lesions. Out of the overall series, 25 were classified as Tir 3A and 50 as Tir 3B. Cancer rate observed in Tir 3A (1/25, 4%) was significantly (p = 0.0002) lower than that of Tir 3B (24/50, 48%). No significant difference was found in age and size between the two subcategories. Conclusions: We confirm in our series that Italian consensus for the classification and reporting of thyroid cytology allows to discriminate indeterminate lesions at low and high risk of malignancy. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 3 | 23% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 46% |
| Nursing and Health Professions | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 5 | 38% |
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 11 July 2018.
All research outputs
#21,305,573
of 26,161,782 outputs
Outputs from Frontiers in endocrinology
#7,026
of 13,370 outputs
Outputs of similar age
#267,722
of 342,409 outputs
Outputs of similar age from Frontiers in endocrinology
#148
of 214 outputs
Altmetric has tracked 26,161,782 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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