ArticleESMO open2023
Real-world data in oncology: a questionnaire-based analysis of the academic research landscape examining the policies and experiences of the cancer cooperative groups.
Article in ESMO open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed, 13 citations in OpenAlex.
- ONMORE-Africa: diagnosing and building real-world oncology studies in Morocco and Africa.ESMO real world data and digital oncology · 2026Review
- Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine.World journal of gastroenterology · 2026Review
- Advancing equitable access to innovation in breast cancer.NPJ breast cancer · 2025Article
- Effectiveness, toxicity and treatment adjustments of lenvatinib plus pembrolizumab in advanced renal cell carcinoma: a multicenter real-world analysis.ESMO real world data and digital oncology · 2025Article
- Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study.Journal of medical Internet research · 2025Article
- Transforming breast cancer management with real-world data and artificial intelligence.ESMO real world data and digital oncology · 2024Article
- Real-World-Time Data and RCT Synergy: Advancing Personalized Medicine and Sarcoma Care through Digital Innovation.Cancers · 2024Review
- Development of a Longitudinal Prostate Cancer Transcriptomic and Clinical Data Linkage.JAMA network open · 2024Article
- Unlocking the Power of Benchmarking: Real-World-Time Data Analysis for Enhanced Sarcoma Patient Outcomes.Cancers · 2023Article
- Real World Data Studies of Antineoplastic Drugs: How Can They Be Improved to Steer Everyday Use in the Clinic?Pragmatic and observational research · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReal-world data (RWD) have quickly emerged as an important source of information to address uncertainties about new treatments, including novel anticancer therapies. Many stakeholders are using such data and the evidence derived therefrom to answer the questions that remain about the safety and effectiveness of antitumor medicines after their approval by regulators. Our objective was to investigate the academic RWD study landscape and explore to what extent RWD are being integrated into investigator-initiated clinical research. MATERIALS AND
methodsWe designed an online survey that was distributed between May and August 2022 to representatives of cancer cooperative groups active in Europe, North America, South America, Asia, and/or Oceania.
resultsIn total, 125 cooperative groups operating in 58 different countries and conducting research across 13 distinct cancer domains participated in the survey. While most of the responders (67.2%) did not have a formal policy in place to gather and utilize RWD, a majority (68.0%) had carried out studies involving the analysis of such data before, both for exploratory and confirmatory purposes. The groups that were experienced in capturing and interpreting RWD had mainly worked with observational RWD that were not predominantly prospective or retrospective in nature and which originated from disease registries, electronic health records, and patient questionnaires. They perceived the low costs and the large scale of RWD research to be its most significant benefits, and viewed the accompanying methodological and operational challenges as its biggest constraints. However, they did not have a common understanding of what RWD were. Despite their experience with analyzing RWD, their research portfolio still primarily comprised traditional clinical trials; 62.5% of the groups that had never undertaken any RWD studies were nonetheless planning to initiate them in the future.
conclusionsCancer cooperative groups are already incorporating RWD studies into their research agendas, but still lack knowledge and expertise in this regard, and do not agree on what RWD are. The conduct of conventional clinical trials continues to be their priority.
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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.