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Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin

Title: Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin
Authors: Anna Ugalde; Richard W Tothill; Stephen Quinn; Hui-Li Wong; Owen Prall; Catherine Mitchell; Nilmini Wickramasinghe; Clare Fedele; Natalie Richards; Elizabeth Todio; Cindy Bryant; Louisa G Collins; Sarah McLean; Hyun Soo Ko; Tim Akhurst; Christopher Steer; Bo Gao; Mark Wong; Chloe Georgiou; Narayan Karanth; Anna Kuchel; Louise Nott; Shamsudheen Padinharakam; Mark Shackleton; Ian Collins; Madhu Singh; Rachel Wong; Zee Wan Wong; Alexis Butler; Tharani Sivakumaran; Penelope Schofield; Linda Mileshkin
Publication Year: 2025
Subject Terms: Oncology and carcinogenesis; Health sciences; Epidemiology; Early Detection of Cancer; Female; Humans; Male; Neoplasms; Unknown Primary; Quality of Life; Cancer; Care; Diagnosis; Stepped-wedge cluster; Support; Unknown primary cancer
Description: Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin
Document Type: article in journal/newspaper
Language: unknown
Relation: http://hdl.handle.net/10779/DRO/DU:28339820.v1
Availability: http://hdl.handle.net/10779/DRO/DU:28339820.v1; https://figshare.com/articles/journal_contribution/Solving_unknown_primary_cancer_with_earlier_diagnosis_-_the_SUPER-ED_trial_study_protocol_for_a_stepped-wedge_cluster_randomised_controlled_trial_to_support_earlier_diagnosis_for_people_presenting_with_malignancy_of_undefined_primary_origin/28339820
Rights: CC BY-NC-ND 4.0
Accession Number: edsbas.3C040ED8
Database: BASE