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Combined checkpoint inhibitor therapy causing diabetic ketoacidosis in metastatic melanoma

Overview of attention for article published in Journal for Immunotherapy of Cancer, December 2017
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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17 X users

Citations

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25 Dimensions

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62 Mendeley
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Title
Combined checkpoint inhibitor therapy causing diabetic ketoacidosis in metastatic melanoma
Published in
Journal for Immunotherapy of Cancer, December 2017
DOI 10.1186/s40425-017-0303-9
Pubmed ID
Authors

Pouyan N. Changizzadeh, Shiva Kumar R. Mukkamalla, Vincent A. Armenio

Abstract

There has been a significant improvement in survival of advanced malignancies with the advent of checkpoint inhibitors. These newer treatment modalities come with a wide spectrum of unique side effects, termed immune related adverse events (irAE), ranging from mild skin rash to severe colitis. Included in that spectrum is the rare side effect of autoimmune diabetes mellitus. Despite a few case reports illustrating the incidence of autoimmune diabetes associated with immunotherapy, there has not been much mentioned about exacerbation or acceleration of hyperglycemia in non-autoimmune settings leading to de novo diagnosis of type 2 diabetes mellitus. We report the case of a 42 year old man with metastatic melanoma and no prior history of diabetes mellitus, who presented with diabetic ketoacidosis (DKA) after 3 cycles of combination checkpoint inhibitor therapy using nivolumab and ipilimumab. New onset diabetes mellitus was diagnosed on the basis of elevated hemoglobin A1c, in the absence of prior personal or family history. Autoimmune or type 1 diabetes mellitus was ruled out with normal levels of anti-glutamic acid decarboxylase 65 (GAD65) antibody, zinc transporter 8 (ZnT8) antibody, and islet antigen-2 (IA-2) antibody. This case report highlights the importance of recognizing rare but serious adverse events related to immunotherapy and incorporation of appropriate tools for early identification and management in national cancer treatment guidelines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Student > Ph. D. Student 7 11%
Student > Postgraduate 6 10%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 14 23%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 28 45%
Biochemistry, Genetics and Molecular Biology 3 5%
Nursing and Health Professions 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Unspecified 2 3%
Other 5 8%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 January 2020.
All research outputs
#3,686,233
of 25,450,869 outputs
Outputs from Journal for Immunotherapy of Cancer
#1,011
of 3,431 outputs
Outputs of similar age
#76,763
of 447,521 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#21
of 32 outputs
Altmetric has tracked 25,450,869 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 70% 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 447,521 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 82% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.