Evidence map›Paper›PMID 27807766›Full record

SynthesisBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2016

Monoclonal Antibody and Fusion Protein Biosimilars Across Therapeutic Areas: A Systematic Review of Published Evidence.

Ira Jacobs, Danielle Petersel, Lesley G Shane, Chee-Keng Ng, Carol Kirchhoff, Gregory Finch, Sadiq Lula

Abstract readSystematic Review
In one paragraph

Synthesis in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Biosimilar monoclonal antibodies for cancer treatment in adults.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Biosimilars for the Treatment of Cancer: A Systematic Review of Published Evidence.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2017
    Pooled it
  3. Biosimilars for the Treatment of Chronic Inflammatory Diseases: A Systematic Review of Published Evidence.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2016
    Pooled it
  4. Review
  5. Article
  6. Asthma biologics: Comparing trial designs, patient cohorts and study results.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2020
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. The use of biosimilar medicines in oncology - position statement of the Brazilian Society of Clinical Oncology (SBOC).Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2018
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
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.

Ira JacobsGlobal Established Pharma Medicines Development Group, Pfizer Inc., 235 East 42nd Street, New York, NY, 10017-5755, USA. ira.jacobs@pfizer.com.
Danielle PeterselGlobal Established Pharma Medicines Development Group, Pfizer Inc., 235 East 42nd Street, New York, NY, 10017-5755, USA.
Lesley G ShaneOutcomes and Evidence, Global Health and Value, Pfizer Inc., New York, NY, USA.
Chee-Keng NgAnalytical Research and Development, Biotherapeutics Pharmaceutical Sciences, Pfizer Inc., Andover, MA, USA.
Carol KirchhoffGlobal Technology Services, Biotechnology and Aseptic Sciences, Pfizer Inc., Chesterfield, MO, USA.
Gregory FinchDrug Safety Research and Development, Pfizer Inc., Groton, CT, USA.
Sadiq LulaEnvision Pharma Group, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite regulatory efforts to formalize guidance policies on biosimilars, there remains a need to educate healthcare stakeholders on the acknowledged definition of biosimilarity and the data that underpin it.

objectivesThe objectives of the study were to systematically collate published data for monoclonal antibodies and fusion protein biosimilars indicated for cancer, chronic inflammatory diseases, and other indications, and to explore differences in the type and weight (quantity and quality) of available evidence.

methodsMEDLINE, Embase, and ISI Web of Science were searched to September 2015. Conference proceedings (n = 17) were searched 2012 to July 2015. Included studies were categorized by originator, study type, and indication. To assess data strength and validity, risk of bias assessments were undertaken.

resultsAcross therapeutic areas, 43 named (marketed or proposed) biosimilars were identified for adalimumab, abciximab, bevacizumab, etanercept, infliximab, omalizumab, ranibizumab, rituximab, and trastuzumab originators. Infliximab CT-P13, SB2, and etanercept SB4 biosimilars have the greatest amount of published evidence of similarity with their originators, based on results of clinical studies involving larger numbers of patients or healthy subjects (N = 1405, 743, and 734, respectively). Published data were also retrieved for marketed intended copies of etanercept and rituximab.

conclusionsThis unbiased synthesis of the literature exposed significant differences in the extent of published evidence between molecules at preclinical, clinical, and post-marketing stages of development, providing clinicians and payers with a consolidated view of the available data and remaining gaps.

Indexed as

Antibodies, MonoclonalBiosimilar PharmaceuticalsChronic DiseaseHumansInflammationNeoplasmsRecombinant Fusion ProteinsRituximabSerial PublicationsAntibodies, MonoclonalBiosimilar PharmaceuticalsRecombinant Fusion ProteinsRituximab

Identifiers

PMID27807766
PMCPMC5126212

What OpenQuestion holds

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LicenceCC BY-NC
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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.