Evidence map›Paper›PMID 37831372›Full record

ArticleDrugs in R&D2023

Analytical and Functional Similarity of the Biosimilar Candidate ABP 654 to Ustekinumab Reference Product.

Greg Cantin, Qian Liu, Bhavana Shah, Scott Kuhns, Mats Wikström, Shawn Cao, Jennifer Liu

Open access · goldAbstract read
In one paragraph

Article in Drugs in R&D, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Greg CantinAmgen Inc., Thousand Oaks, CA, USA. gcantin@amgen.com.
Qian LiuAmgen Inc., Thousand Oaks, CA, USA.
Bhavana ShahAmgen Inc., Thousand Oaks, CA, USA.
Scott KuhnsAmgen Inc., Thousand Oaks, CA, USA.
Mats WikströmAmgen Inc., Thousand Oaks, CA, USA.
Shawn CaoAmgen Inc., Thousand Oaks, CA, USA.
Jennifer LiuAmgen Inc., Thousand Oaks, CA, USA.
Amgen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveABP 654 is a proposed biosimilar to ustekinumab reference product (RP), a human immunoglobulin isotype class G subclass 1 kappa monoclonal antibody that acts as an antagonist of interleukin (IL)-23 and IL-12. Ustekinumab RP is indicated for the treatment of some forms of plaque psoriasis, active psoriatic arthritis, Crohn's disease, and ulcerative colitis. ABP 654 and ustekinumab RP utilize different expression systems, and the purpose of this study was to assess analytical similarity between ABP 654 and ustekinumab RP sourced from the United States (US) and the European Union (EU).

methodsThe analytical testing plan included general properties, primary structure, higher-order structure, product-related substances and impurities, particles and aggregates, biological activity, and thermal stability and degradation studies.

resultsABP 654 was found to be analytically similar to ustekinumab RP with respect to physicochemical and biological properties, including structure, function, purity, and potency.

conclusionsBased on a comprehensive similarity assessment, ABP 654 was found to be similar to ustekinumab RP, notwithstanding minor physicochemical differences that are not expected to have a clinically meaningful effect on safety or efficacy.

Indexed as

Arthritis, PsoriaticBiosimilar PharmaceuticalsHumansUnited StatesUstekinumabBiosimilar PharmaceuticalsUstekinumab

Identifiers

PMID37831372
PMCPMC10676326
OpenAlexW4387597380

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.