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A practical guide about biosimilar data for health care providers treating inflammatory diseases

Overview of attention for article published in Biologics: Targets & Therapy, February 2017
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Title
A practical guide about biosimilar data for health care providers treating inflammatory diseases
Published in
Biologics: Targets & Therapy, February 2017
DOI 10.2147/btt.s122335
Pubmed ID
Authors

Joseph Markenson, Daniel F Alvarez, Ira Jacobs, Carol Kirchhoff

Abstract

To make informed decisions about the safety, efficacy, and clinical utility of a biosimilar, health care providers should understand the types and be able to analyze data generated from a biosimilar development program. This article reviews the biosimilar guidelines, the biosimilar development process to provide education and context about biosimilarity, and uses examples from infliximab biosimilars to review the terminology and potential types of analyses that may be used to compare potential biosimilars to the originator biologic. A biosimilar is a biologic product that is highly similar to an approved (originator) biologic, notwithstanding minor differences in clinically inactive components, and with no clinically meaningful differences in terms of the safety, purity, and potency of the product. Due to their complex nature and production in living systems, it is not possible to exactly duplicate the approved originator biologic. To ensure biosimilars provide consistent, safe, and effective treatment comparable to the originator biologic, extensive analyses of the potential biosimilar are conducted, including side-by-side analytical, nonclinical, and clinical comparisons. A key goal is to determine whether there are sufficient relevant similarities in chemical composition, biologic activity, and pharmacokinetic aspects between the potential biosimilar and the originator. Regulatory approvals and marketing authorizations for biosimilars are made on a case-by-case and agency-by-agency basis after evaluating the totality of the evidence generated from the entire development program. Understanding how regulatory agencies review data for approval can help health care providers make appropriate decisions when biosimilars become available for use in the treatment of inflammatory diseases, and therefore they should review the literature to gain further information about specific biosimilars.

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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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 26%
Other 5 16%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 2 6%
Other 3 10%
Unknown 5 16%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 10 32%
Medicine and Dentistry 7 23%
Biochemistry, Genetics and Molecular Biology 3 10%
Computer Science 2 6%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 8 26%
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 01 March 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Biologics: Targets & Therapy
#224
of 284 outputs
Outputs of similar age
#322,774
of 424,972 outputs
Outputs of similar age from Biologics: Targets & Therapy
#2
of 3 outputs
Altmetric has tracked 25,382,440 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 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 14th percentile – i.e., 14% 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 424,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.