SynthesisJAMA oncology2022
Characteristics of Clinical Trials Evaluating Biosimilars in the Treatment of Cancer: A Systematic Review and Meta-analysis.
Synthesis in JAMA oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Biosimilar monoclonal antibodies for cancer treatment in adults.The Cochrane database of systematic reviews · 2024Pooled it
- Clinical Benefit, Price, and Uptake for Cancer Biosimilars vs Reference Drugs in China: A Systematic Review and Meta-Analysis.JAMA network open · 2023Pooled it
- Beyond Cost: Observations on Clinical and Patient Benefits of Biosimilars in Real-World Settings.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025Review
- Comparative Assessment of Pivotal Trials Supporting the Indication Approvals of Innovative and Modified New Anticancer Drugs in China, 2016-2022.Health data science · 2025Article
- Monoclonal antibody biosimilars for cancer treatment.iScience · 2024Review
- Retrospective analysis of survival and safety of bevacizumab biosimilar and original drug combination chemotherapy in non-small cell lung cancer.Frontiers in oncology · 2024Article
- Future Evolution of Biosimilar Development by Application of Current Science and Available Evidence: The Developer's Perspective.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023Article
- Efficacy and safety of bevacizumab biosimilar compared with reference bevacizumab in locally advanced and advanced non-small cell lung cancer patients: A retrospective study.Frontiers in oncology · 2022Article
- Scientific Rationale for Waiving Clinical Efficacy Testing of Biosimilars.Drug design, development and therapy · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
importanceBiologics account for almost half of US drug spending but may be subject to competitive pricing pressures by US Food and Drug Administration-approved biosimilars. The extent of the preapproval clinical testing that is needed and how these biosimilars compare with the originator biologic products remain critical issues in establishing a vibrant biosimilar market.
objectivesTo analyze the design of cancer biosimilar efficacy studies compared with the reference drug pivotal trials and provide summary risk ratio estimates for each cancer type drug subgroup. DATA SOURCES: A systematic search was performed of articles and abstracts published using Embase, PubMed/MEDLINE, and ClinicalTrials.gov, last updated April 18, 2021. STUDY SELECTION: All studies or abstracts in English comparing a disease-modifying cancer biologic and its biosimilar and reporting efficacy or surrogate efficacy results were included. DATA EXTRACTION AND SYNTHESIS: Outcome estimates and study characteristics were extracted from each study. Among biosimilar efficacy studies, random-effects meta-analyses were performed for each cancer type molecule outcome subgroup, calculating pooled relative estimates and 95% CIs. MAIN OUTCOMES AND MEASURES: Study characteristics, such as population size, blinding, and randomization, were compared between biosimilar trials and those of reference drugs. Risk ratio estimates for relative change to surrogate measures (eg, progression-free survival) were collected for biosimilars and their reference products.
resultsA total of 31 cancer biosimilar studies of 3 reference products involving 12 310 patients were included. In all 7 subgroups, the biosimilars analyzed were indistinguishable from their reference drug on surrogate efficacy. Six reference drug trials were included, involving 1811 patients. On average, biosimilar studies involved more patients than reference drug trials (mean number of patients, 397 vs 302), were more likely to be randomized clinical trials rather than single-group or observational studies (100% [31 of 31] vs 50% [3 of 6]), and were more likely to be double blind rather than open label (84% [26 of 31] vs 17% [1 of 6]). CONCLUSIONS AND RELEVANCE: This systematic review and meta-analysis found that the biosimilars for the cancer drugs in this sample were subjected to rigorous clinical evaluations, and the results were statistically indistinguishable from those of original products across drugs, cancer types, and outcome measures.
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Registered trials
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.