European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology · 2026

Cutting-edge research in surgical oncology: A framework for decision-grade evidence.

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Gronchi Alessandro, Bogani Giorgio, Agresti Roberto, Audisio Riccardo A, Beretta Paolo, Biondi Alberto, Bocciolone Luca, Boni Luigi, Cabitza Federico, Callegaro Dario, Cananzi Ferdinando Cm, Carnelli Marco, Casali Paolo G, Casarin Jvan, Castiglioni Isabella, Coccolini Federico, Cortinovis Umberto, D'Amico Francesco E, De Braud Filippo, De Manzoni Giovanni, Deganello Alberto, Tos Angelo Dei, Delrio Paolo, Deraco Marcello, Falconi Massimo, Ferrari Marco, Foppa Caterina, Galfano Antonio, Galimberti Viviana, Gangeri Laura, Garofalo Alfredo, Gennaro Massimiliano, Giannì Aldo B, Giordano Leone, Grazi Gian Luca, Graziosi Luigina, Gunelli Roberta, Guzzo Marco, Incandela Fabiola, Lissidini Germana, Mari Giulio, Mascagni Pietro, Maurichi Andrea, Mazzaferro Vincenzo, Miceli Rosalba, Montella Maria Teresa, Montroni Isacco, Musi Gennaro, Nazzani Sebastiano, Pardolesi Alessandro, Patuzzo Roberto, Pedrazzani Corrado, Pellegrino Antonio, Pennacchioli Elisabetta, Picciariello Arcangelo, Rampinelli Vittorio, Raspagliesi Francesco, Rastrelli Marco, Russo Sabino, Salvia Roberto, Sommariva Antonio, Spinelli Antonino, Spolverato Gaya, Sposito Carlo, De Bella Manuela Tamburo, Torzilli Guido, Trama Annalisa, Ugolini Giampaolo, Urso Emanuele, Varca Virginia, Zanagnolo Vanna, Solli Piergiorgio, Nicolai Nicola, Collaborative for Research and Innovation in Surgical Oncology

Аннотация

Surgical innovation and oncologic practice are evolving rapidly. However, the evidence base supporting many interventions/decisions in surgical oncology remains vulnerable to bias, limited generalizability, and inconsistent reporting. To address this gap, this multidisciplinary review, developed through structured discussions among surgeons, methodologists, and data governance experts, proposes methodological principles to support the generation of credible, patient-relevant, and decision-oriented evidence in surgical oncology. The proposed framework emphasizes clinically actionable research questions, study designs proportionate to surgical realities, transparent comparator strategies, rigorous data governance, and communication aligned with guideline and policy decision-making. The paper also discusses the responsible integration of artificial intelligence (AI)-enabled methodologies and the opportunities created by the secondary use of health data within the European Health Data Space (EHDS). High-quality surgical oncology research requires methodological rigor, data integrity, and dissemination to be treated as integral components of clinical excellence.

Cutting-edge research in surgical oncology: A framework for decision-grade evidence.

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Аннотация