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Diabetes Secondary to Acromegaly: Physiopathology, Clinical Features and Effects of Treatment

Overview of attention for article published in Frontiers in endocrinology, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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23 X users

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104 Mendeley
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Title
Diabetes Secondary to Acromegaly: Physiopathology, Clinical Features and Effects of Treatment
Published in
Frontiers in endocrinology, July 2018
DOI 10.3389/fendo.2018.00358
Pubmed ID
Authors

Francesco Ferraù, Adriana Albani, Alessandro Ciresi, Carla Giordano, Salvatore Cannavò

Abstract

Acromegaly is a rare disease due to chronic GH excess and to the consequent increase in IGF-1 levels. Both GH and IGF-1 play a role in intermediate metabolism affecting glucose homeostasis. Indeed, chronic GH excess impairs insulin sensitivity, increases gluconeogenesis, reduces the glucose uptake in adipose tissue and muscle and alters pancreatic β cells function. As a consequence, glucose metabolism alterations are a very frequent complication in acromegaly patients, further contributing to the increased cardiovascular risk and mortality. Treatment modalities of acromegaly differently impact on glucose tolerance. Successful surgical treatment of acromegaly ameliorates glucose metabolism abnormalities. Drugs used to treat acromegaly patients may per se affect glucose homeostasis, therefore influencing patients' management. Indeed pegvisomant has been shown to positively impact on glucose metabolism, while somatostatin analogs, especially pasireotide, can cause hyperglycaemia. On the other hand, robust data on the effect of dopamine agonists on glycaemic profile are still lacking. This review summarizes the available data on diabetes mellitus in acromegaly patients, with a focus on the potential effects of the medical treatment of the disease on glucose homeostasis, providing an overview of the current state of the art.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 13%
Student > Master 12 12%
Other 10 10%
Student > Doctoral Student 8 8%
Researcher 5 5%
Other 17 16%
Unknown 38 37%
Readers by discipline Count As %
Medicine and Dentistry 39 38%
Biochemistry, Genetics and Molecular Biology 5 5%
Nursing and Health Professions 5 5%
Veterinary Science and Veterinary Medicine 4 4%
Agricultural and Biological Sciences 2 2%
Other 7 7%
Unknown 42 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 July 2018.
All research outputs
#2,745,852
of 25,732,188 outputs
Outputs from Frontiers in endocrinology
#748
of 13,266 outputs
Outputs of similar age
#53,155
of 342,017 outputs
Outputs of similar age from Frontiers in endocrinology
#24
of 207 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 342,017 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 84% of its contemporaries.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.