Evidence map›Paper›PMID 35113135›Full record

SynthesisJAMA oncology2022

Characteristics of Clinical Trials Evaluating Biosimilars in the Treatment of Cancer: A Systematic Review and Meta-analysis.

Doni Bloomfield, Elvira D'Andrea, Sarosh Nagar, Aaron Kesselheim

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Biosimilar monoclonal antibodies for cancer treatment in adults.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Pooled it
  3. Beyond Cost: Observations on Clinical and Patient Benefits of Biosimilars in Real-World Settings.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Doni BloomfieldProgram on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Elvira D'AndreaProgram on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Sarosh NagarProgram on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Aaron KesselheimProgram on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antineoplastic AgentsBiosimilar PharmaceuticalsNeoplasmsHumansRandomized Controlled Trials as TopicUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsBiosimilar Pharmaceuticals

Identifiers

PMID35113135
PMCPMC8814981
OpenAlexW4210418069

What OpenQuestion holds

Textmetadata
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.