ESMO guidance for reporting oncology real-world evidence (GROW)
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•Real-world evidence in oncology is evolving rapidly with many particularities. •This guidance provides key recommendations for reporting real-world evidence studies in oncology. •Recommendations are based on a review of current evidence and the authors’ collective expert opinion. •Authors are a multidisciplinary group of experts from different institutions and countries. •Guidance is provided for full article development, including title, introduction, methods, results, discussion, conclusion.
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ESMO-GROW provides publication guidelines for using real-world data in oncology, including AI-focused reporting guidelines.
“Finally, there is an increasing use of AI in analyzing real-world data (RWD), and the European Society for Medical Oncology Guidance for Reporting Oncology Real-World Evidence (ESMO-GROW) now provides publication guidelines regarding the use of RWD in oncology, along with specific AIfocused reporting guidelines (201).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [201]
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How AI will transform cancer care
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- Authors
- Castelo-Branco, L., Pellat, A., Martins-Branco, D., Valachis, A., Derksen, J. W. G., Suijkerbuijk, K. P. M., Dafni, U., Dellaporta, T., Vogel, A., Prelaj, A., Groenwold, R. H. H., Martins, H., Stahel, R., Bliss, J., Kather, J., Ribelles, N., Perrone, F., Hall, P. S., Dienstmann, R., Booth, C. M., Pentheroudakis, G., Delaloge, S., & Koopman, M.
- Affiliations
- European Society for Medical Oncology (CH)
- Université Paris Cité (FR)
- Université Libre de Bruxelles (BE)
- Örebro University (SE)
- Utrecht University (NL)
- National and Kapodistrian University of Athens (GR)
- Frontier Science Foundation-Hellas (GR)
- University Health Network (CA)
- Fondazione Politecnico di Milano (IT)
- Leiden University Medical Center (NL)
- Iscte – Instituto Universitário de Lisboa (PT)
- International Breast Cancer Study Group (CH)
- Institute of Cancer Research (GB)
- Heidelberg University (DE)
- Instituto de Investigación Biomédica de Málaga (ES)
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
- Institute of Genetics and Cancer (GB)
- Vall d'Hebron Institute of Oncology (ES)
- Queen's University (CA)
- Institut Gustave Roussy (FR)
- Corresponding author
- Castelo-Branco, L.
- ORCID
- Venue
- Annals of Oncology
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 34
- Issue
- 12
- Pages
- 1097-1112
- ISSN
- 0923-7534 (ISSN-L)
- OpenAlex
- W4387652542
- Cited by
- 247
- References
- 64
- Citations by year
- 2026: 70 · 2025: 108 · 2024: 65 · 2023: 4
- FWCI
- 45.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Annals of Oncology (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion, cc-by-nc)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc)
- Funders
- Amgen
- Eli Lilly and Company
- Pfizer
- AstraZeneca
- Sanofi
- Gilead Sciences
- Associazione Italiana di Oncologia Medica
- Les Laboratories Pierre Fabre
- Clovis Oncology
- Incyte
- Puma Biotechnology
- Seagen
- Cancer Research UK (23706, 25351)
- National Institute for Health and Care Research (NIHR202432)
- European Commission
- Eisai
- Astellas Pharma
- European Society for Medical Oncology
- Servier
- Ipsen
- Nordic Pharma Group
- Sirtex Medical
- Genentech
- Foundation Medicine
- Cilag
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- real-world evidence, oncology, reporting guidelines, ESMO, article structure
- MeSH terms
- Humans, Medical Oncology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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