Evidence map›Paper›PMID 28255229›Full record

ReviewBiologics : targets & therapy2017

Biosimilars and the extrapolation of indications for inflammatory conditions.

John Rp Tesser, Daniel E Furst, Ira Jacobs

Open access · goldAbstract readReview
In one paragraph

Review in Biologics : targets & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. A randomised Phase 3 study comparing the efficacy and safety of proposed denosumab biosimilar RGB-14-P and reference denosumab in women with postmenopausal osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Development of Biosimilar Aflibercept SDZ-AFL.Current therapeutic research, clinical and experimental · 2025
    Review
  9. Outcomes of Rituximab-abbs versus Rituximab in Patients with Diffuse Large B-Cell Lymphoma in a Noninferiority Study.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024
    Article
  10. Review
  11. Biosimilars in IBD: What Every Clinician Needs to Know.Current gastroenterology reports · 2024
    Review
  12. Review
  13. Review
  14. Review
  15. Observational
  16. Article
  17. Article
  18. Review
  19. Practical Considerations for Integrating Biosimilars Into Clinical Practice.Journal of the advanced practitioner in oncology · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

John Rp TesserArizona Arthritis & Rheumatology Associates, Phoenix, AZ.
Daniel E FurstUCLA Health, Los Angeles, CA.
Ira JacobsPfizer Inc, New York, NY, USA.
Arthritis and Rheumatism Associates · USPfizer (United States) · USUCLA Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrapolation is the approval of a biosimilar for use in an indication held by the originator biologic not directly studied in a comparative clinical trial with the biosimilar. Extrapolation is a scientific rationale that bridges all the data collected (ie, totality of the evidence) from one indication for the biosimilar product to all the indications originally approved for the originator. Regulatory approval and marketing authorization of biosimilars in inflammatory indications are made on a case-by-case and agency-by-agency basis after evaluating the totality of evidence from the entire development program. This totality of the evidence comprises extensive comparative analytical, functional, nonclinical, and clinical pharmacokinetic/pharmacodynamic, efficacy, safety, and immunogenicity studies used by regulators when evaluating whether a product can be considered a biosimilar. Extrapolation reduces or eliminates the need for duplicative clinical studies of the biosimilar but must be justified scientifically with appropriate data. Understanding the concept, application, and regulatory decisions based on the extrapolation of data is important since biosimilars have the potential to significantly impact patient care in inflammatory diseases.

Indexed as

biosimilarextrapolationinflammatory diseaserheumatology

Identifiers

PMID28255229
PMCPMC5322938
OpenAlexW2588687669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.