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Immune checkpoint inhibitors in urothelial cancer: recent updates and future outlook

Overview of attention for article published in Therapeutics and Clinical Risk Management, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Citations

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60 Mendeley
Title
Immune checkpoint inhibitors in urothelial cancer: recent updates and future outlook
Published in
Therapeutics and Clinical Risk Management, June 2018
DOI 10.2147/tcrm.s158753
Pubmed ID
Authors

Dharmesh Gopalakrishnan, Vadim S Koshkin, Moshe C Ornstein, Athanasios Papatsoris, Petros Grivas

Abstract

Bladder cancer is the sixth most common cancer in the US and most tumors have urothelial (transitional cell) histology. Platinum-based chemotherapy has long been the standard of care in advanced disease, but long-term outcomes have largely remained poor. Since the peak incidence of bladder cancer is in the eighth decade of life and beyond, medical comorbidities may often limit the use of chemotherapy. Immune checkpoint inhibitors with their favorable toxicity profiles and notable antitumor activity have ushered in a new era in the treatment of advanced urothelial cancer (UC) with five agents targeting the PD-1/PD-L1 pathway being recently approved by the US Food and Drug administration. A plethora of clinical trials are ongoing in diverse disease settings, employing agents targeting PD-1/PD-L1 and related immune checkpoint pathways. While reactivating anti-tumor immunity, these agents may lead to a unique constellation of immune-related adverse events, which may warrant discontinuation of therapy and potential use of immunosuppression. Novel combinations with various treatment modalities and optimal sequencing of active therapies are being investigated in prospective clinical trials and retrospective registries. At the era of precision molecular medicine, and since patients do not respond uniformly to these agents, there is a growing need for identification and validation of biomarkers that can accurately predict treatment response and assist in patient selection. This review discusses current updates and future directions of immunotherapy in advanced UC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 15%
Student > Master 6 10%
Student > Ph. D. Student 5 8%
Student > Bachelor 4 7%
Student > Doctoral Student 3 5%
Other 13 22%
Unknown 20 33%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Biochemistry, Genetics and Molecular Biology 8 13%
Unspecified 2 3%
Business, Management and Accounting 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 8%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 August 2018.
All research outputs
#8,478,408
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#457
of 1,323 outputs
Outputs of similar age
#136,368
of 342,877 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#15
of 33 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 65% 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 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.