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Adjuvant and Neoadjuvant Therapy, Treatment for Advanced Disease, and Genetic Considerations for Adrenocortical Carcinoma: An Update from the SSO Endocrine and Head and Neck Disease Site Working Group

Overview of attention for article published in Annals of Surgical Oncology, September 2018
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Title
Adjuvant and Neoadjuvant Therapy, Treatment for Advanced Disease, and Genetic Considerations for Adrenocortical Carcinoma: An Update from the SSO Endocrine and Head and Neck Disease Site Working Group
Published in
Annals of Surgical Oncology, September 2018
DOI 10.1245/s10434-018-6750-9
Pubmed ID
Authors

Paxton V. Dickson, Lawrence Kim, Tina W. F. Yen, Anthony Yang, Elizabeth G. Grubbs, Dhavel Patel, Carmen C. Solórzano

Abstract

This is the second of a two-part review on adrenocortical carcinoma (ACC) management. While margin-negative resection provides the only potential cure for ACC, recurrence rates remain high. Furthermore, many patients present with locally advanced, unresectable tumors and/or diffuse metastases. As a result, selecting patients for adjuvant therapy and understanding systemic therapy options for advanced ACC is important. Herein, we detail the current literature supporting the use of adjuvant mitotane therapy, consideration of adjuvant radiation therapy, and utility of cytotoxic chemotherapy in patients with advanced disease. Ongoing investigation into molecular targeted agents, immunotherapy, and inhibitors of steroidogenesis for the treatment of ACC are also highlighted. Lastly, the importance of genetic counseling in patients with ACC is addressed as up to 10% of patients will have an identifiable hereditary syndrome.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 17%
Researcher 4 17%
Student > Doctoral Student 3 13%
Professor 2 8%
Other 2 8%
Other 2 8%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 14 58%
Agricultural and Biological Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 7 29%
Attention Score in Context

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 16 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Annals of Surgical Oncology
#5,566
of 6,553 outputs
Outputs of similar age
#293,713
of 337,432 outputs
Outputs of similar age from Annals of Surgical Oncology
#104
of 128 outputs
Altmetric has tracked 23,103,436 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 6,553 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 1st percentile – i.e., 1% 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 337,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 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.