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

Abstract Background People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medic...

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Main 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 M. Collins, Madhu Singh, Rachel Wong, Zee Wan Wong, Alexis Butler, Tharani Sivakumaran, Penelope Schofield, Linda Mileshkin
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
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Online Access:https://doi.org/10.1186/s12885-025-13506-4
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author 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 M. Collins
Madhu Singh
Rachel Wong
Zee Wan Wong
Alexis Butler
Tharani Sivakumaran
Penelope Schofield
Linda Mileshkin
author_facet 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 M. Collins
Madhu Singh
Rachel Wong
Zee Wan Wong
Alexis Butler
Tharani Sivakumaran
Penelope Schofield
Linda Mileshkin
author_sort Anna Ugalde
collection DOAJ
description Abstract Background People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients. This trial aims to implement and evaluate an optimal model of care for people presenting with MUO to reduce time to diagnosis, improve patient experiences and reduce healthcare costs. Methods/design This is a pragmatic stepped-wedge cluster randomised trial comparing a control phase of standard practice with an intervention phase. Patient inclusion criteria are: 1) age 18 years or older, 2) presenting with suspected metastatic malignancy without an obvious primary site on imaging, 3) clinically appropriate to undergo diagnostic work-up and 4) able to provide written or verbal consent. The intervention is a new model of care comprising four key components: standardised diagnostic workup, dedicated cancer care coordinators, virtual multidisciplinary meetings and a website resource for patients, carers and clinicians. The primary endpoint is the time to completion of minimum diagnostic workup. Secondary outcomes are whether the type of tumour is diagnosed, clinical trial participation, referral to palliative care, patient-reported physical, social and mental health, patient-reported understanding and uncertainty. Implementation outcomes include acceptability, feasibility, fidelity and adoption and health care use and costs. Intervention implementation will be supported using clinical leadership, education and reinforcement. Patients who consent to having their data collected will receive the model of care active at the site at the time of recruitment. Patients will complete a patient-reported outcomes questionnaire four months after study enrolment. A health economic analysis will be included. Across 15 hospitals, a total sample size of 240 is planned. Discussion There is a lack of intervention research for people presenting with MUO. The stepped-wedge design seeks to mitigate the potential challenge of enrolling people with a poor prognosis and high symptom burden in trials. This research will generate important evidence with scalability for future research at trial completion. Trial registration ACTRN12622001504707
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institution Kabale University
issn 1471-2407
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publishDate 2025-01-01
publisher BMC
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series BMC Cancer
spelling doaj-art-e5516ca843034865ad0e2d60552cdafc2025-02-02T12:28:56ZengBMCBMC Cancer1471-24072025-01-0125111110.1186/s12885-025-13506-4Solving 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 originAnna Ugalde0Richard W. Tothill1Stephen Quinn2Hui-Li Wong3Owen Prall4Catherine Mitchell5Nilmini Wickramasinghe6Clare Fedele7Natalie Richards8Elizabeth Todio9Cindy Bryant10Louisa G. Collins11Sarah McLean12Hyun Soo Ko13Tim Akhurst14Christopher Steer15Bo Gao16Mark Wong17Chloe Georgiou18Narayan Karanth19Anna Kuchel20Louise Nott21Shamsudheen Padinharakam22Mark Shackleton23Ian M. Collins24Madhu Singh25Rachel Wong26Zee Wan Wong27Alexis Butler28Tharani Sivakumaran29Penelope Schofield30Linda Mileshkin31Institute for Health Transformation, Faculty of Health, Deakin UniversityPeter MacCallum Cancer CentreSwinburne University of TechnologyPeter MacCallum Cancer CentrePeter MacCallum Cancer CentrePeter MacCallum Cancer CentreSwinburne University of TechnologyCSL InnovationPeter MacCallum Cancer CentrePeter MacCallum Cancer CentreSwinburne University of TechnologyQIMR Berghofer Medical Research InstitutePeter MacCallum Cancer CentreSir Peter MacCallum Department of Oncology, University of MelbournePeter MacCallum Cancer CentreBorder Medical Oncology, Albury Wodonga Regional Cancer CentreUniversity of SydneyDepartment of Medical Oncology, Westmead HospitalDepartment of Medical Oncology, Bendigo HealthDepartment of Medical Oncology, Royal Darwin HospitalUniversity of QueenslandDepartment of Medical Oncology, Royal Hobart HospitalLaunceston General HospitalDepartment of Oncology, Alfred HospitalInstitute for Health Transformation, Faculty of Health, Deakin UniversityBarwon HealthEastern HealthMonash HealthPeter MacCallum Cancer CentrePeter MacCallum Cancer CentreSir Peter MacCallum Department of Oncology, University of MelbournePeter MacCallum Cancer CentreAbstract Background People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients. This trial aims to implement and evaluate an optimal model of care for people presenting with MUO to reduce time to diagnosis, improve patient experiences and reduce healthcare costs. Methods/design This is a pragmatic stepped-wedge cluster randomised trial comparing a control phase of standard practice with an intervention phase. Patient inclusion criteria are: 1) age 18 years or older, 2) presenting with suspected metastatic malignancy without an obvious primary site on imaging, 3) clinically appropriate to undergo diagnostic work-up and 4) able to provide written or verbal consent. The intervention is a new model of care comprising four key components: standardised diagnostic workup, dedicated cancer care coordinators, virtual multidisciplinary meetings and a website resource for patients, carers and clinicians. The primary endpoint is the time to completion of minimum diagnostic workup. Secondary outcomes are whether the type of tumour is diagnosed, clinical trial participation, referral to palliative care, patient-reported physical, social and mental health, patient-reported understanding and uncertainty. Implementation outcomes include acceptability, feasibility, fidelity and adoption and health care use and costs. Intervention implementation will be supported using clinical leadership, education and reinforcement. Patients who consent to having their data collected will receive the model of care active at the site at the time of recruitment. Patients will complete a patient-reported outcomes questionnaire four months after study enrolment. A health economic analysis will be included. Across 15 hospitals, a total sample size of 240 is planned. Discussion There is a lack of intervention research for people presenting with MUO. The stepped-wedge design seeks to mitigate the potential challenge of enrolling people with a poor prognosis and high symptom burden in trials. This research will generate important evidence with scalability for future research at trial completion. Trial registration ACTRN12622001504707https://doi.org/10.1186/s12885-025-13506-4CancerSupportDiagnosisCareUnknown primary cancerStepped-wedge cluster
spellingShingle 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 M. Collins
Madhu Singh
Rachel Wong
Zee Wan Wong
Alexis Butler
Tharani Sivakumaran
Penelope Schofield
Linda Mileshkin
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
BMC Cancer
Cancer
Support
Diagnosis
Care
Unknown primary cancer
Stepped-wedge cluster
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
title_full 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_fullStr 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_full_unstemmed 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_short 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_sort 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
topic Cancer
Support
Diagnosis
Care
Unknown primary cancer
Stepped-wedge cluster
url https://doi.org/10.1186/s12885-025-13506-4
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