ArticleJAMA oncology2019
Analysis of Control Arm Quality in Randomized Clinical Trials Leading to Anticancer Drug Approval by the US Food and Drug Administration.
Article in JAMA oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers, 1 of them a synthesis 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
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Strength of clinical evidence leading to approval of novel cancer medicines in Europe: A systematic review and data synthesis.Pharmacology research & perspectives · 2021Pooled it
- The lack of head-to-head randomised trials and the consequences for patients and national health service: The case of non-small cell lung cancer.European journal of clinical pharmacology · 2024Trial
- Prospective, longitudinal oncology registries enabling advanced real-world evidence: the iOMEDICO experience.ESMO real world data and digital oncology · 2026Article
- Improving control arms in 2026 US myeloma trials.Blood advances · 2026Article
- Progression-Free Survival Effect Sizes in Randomized Controlled Trials of Targeted Cancer Therapies with Positive Outcomes.Acta haematologica · 2026Article
- Integration of RNA Editing into Multiomics Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients.Biomedicines · 2026Article
- Uncertain magnitude of benefit of early second-generation androgen receptor antagonist treatment in advanced prostate cancer.Oncology reviews · 2026Review
- Twelve mutations, three trials, and five different labels: PARP inhibitors regulatory inconsistencies in prostate cancers.EClinicalMedicine · 2026Review
- Characteristics of clinical trials associated with appeal and return on investment to participants: a review and framework.The oncologist · 2025Review
- Reproducibility of statistically significant phase III oncology trials: An In Silico meta-epidemiological analysis.European journal of cancer (Oxford, England : 1990) · 2025Article
- Effect size estimation in cooperative group- and industry-sponsored phase 3 oncology trials.Journal of the National Cancer Institute · 2025Article
- Inferior control arms in oncology trials in LMICs: contextualised or compromised?BMJ oncology · 2025Article
- Integration of RNA Editing with Multiomics Data Improves Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients.Research square · 2024Article
- Frequently asked questions on surrogate endpoints in oncology-opportunities, pitfalls, and the way forward.EClinicalMedicine · 2024Review
- Review
- Association of differential censoring with survival and suboptimal control arms among oncology clinical trials.Journal of the National Cancer Institute · 2024Article
- Use of suboptimal control arms in randomized clinical trials of investigational cancer drugs in China, 2016-2021: An observational study.PLoS medicine · 2023Observational
- Real-World Evidence Studies in Oncology Therapeutics: Hope or Hype?Indian journal of surgical oncology · 2023Review
- Challenges, Complexities, and Considerations in the Design and Interpretation of Late-Phase Oncology Trials.Seminars in radiation oncology · 2023Review
- Cancer Drugs Reimbursed with Limited Evidence on Overall Survival and Quality of Life: Do Follow-Up Studies Confirm Patient Benefits?Clinical drug investigation · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
importanceTo date, an empirical evaluation of the quality of control arms in randomized clinical trials (RCTs) leading to anticancer drug approvals by the US Food and Drug Administration (FDA) has not been undertaken.
objectiveWe sought to estimate the percentage of RCTs that used a control arm deemed suboptimal and led to FDA approval of anticancer drugs from January 1, 2013, to July 31, 2018. DESIGN, SETTING, AND
participantsThis quality improvement study included 143 anticancer drug approvals granted by the FDA from January 1, 2013, to July 31, 2018. All approvals based on single-arm studies (48 approvals) were excluded. Approvals based on RCTs were further investigated and each trial was analyzed for design, time of patient accrual, control arm, and primary end point. Standard-of-care therapy was determined by evaluating the literature and published guidelines 1 year prior to the start of trial enrollment. The percentage of approvals based on RCTs that used suboptimal control arms was then calculated. The quality of the control arm was deemed suboptimal if the choice of control agent was restricted to exclude a recommended agent, the control arm was specified but the recommended agent was unspecified, and if prior RCT data had demonstrated that the control agent was inferior to an available alternative. MAIN OUTCOMES AND MEASURES: Estimated percentage of RCTs that used suboptimal control arms that led to FDA approval of anticancer agents between January 1, 2013, to July 31, 2018.
resultsA total of 145 studies that led to 143 drug approvals between January 1, 2013, and July 31, 2018, were included. Of these studies, 48 single-arm studies were excluded. The remaining 97 studies led to 95 drug approvals. Of these 95 approvals, 16 (17%) were based on RCTs with suboptimal control arms; 15 were international trials, and 1 was conducted in the United States. The type of approval was regular in 15 trials and accelerated in 1 trial. When categorized by the nature of suboptimal control, 4 (25%) trials omitted active treatment in control arm by limiting investigator's choice, 11 (63%) trials omitted active treatment in the control arm by using a control agent known to be inferior to other available agents or not allowing combinations, and 1 (13%) trial used a previously used treatment in the control arm with a known lack of benefit associated with reexposure. CONCLUSIONS AND RELEVANCE: Although anticancer drug approvals are increasing, a proportion of these drugs are reaching the market without proven superiority to what is considered the standard of care at the time of patient enrollment in pivotal trials. The choice of control arm should be optimized to ensure that new anticancer agents being marketed are truly superior to what most clinicians would prescribe outside a clinical trial setting.
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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.