Evidence map›Paper›PMID 39881222›Full record

ArticleBMC cancer2025

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.

Anna Ugalde, Richard W Tothill, Stephen Quinn, Hui-Li Wong, Owen Prall, Catherine Mitchell, Nilmini Wickramasinghe, Clare Fedele, Natalie Richards, Elizabeth Todio and 22 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors.

Anna UgaldeInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood Highway, Burwood, Geelong, Victoria, 3125, Australia. a.ugalde@deakin.edu.au.
Richard W TothillPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Stephen QuinnSwinburne University of Technology, Hawthorn, Victoria, Australia.
Hui-Li WongPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Owen PrallPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Catherine MitchellPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Nilmini WickramasingheSwinburne University of Technology, Hawthorn, Victoria, Australia.
Clare FedeleCSL Innovation, Melbourne, Victoria, Australia.
Natalie RichardsPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Elizabeth TodioPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Cindy BryantSwinburne University of Technology, Hawthorn, Victoria, Australia.
Louisa G CollinsQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Sarah McLeanPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Hyun Soo KoSir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.
Tim AkhurstPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Christopher SteerBorder Medical Oncology, Albury Wodonga Regional Cancer Centre, Albury, New South Wales, Australia.
Bo GaoUniversity of Sydney, Sydney, New South Wales, Australia.
Mark WongDepartment of Medical Oncology, Westmead Hospital, Sydney, New South Wales, Australia.
Chloe GeorgiouDepartment of Medical Oncology, Bendigo Health, Bendigo, Victoria, Australia.
Narayan KaranthDepartment of Medical Oncology, Royal Darwin Hospital, Darwin, Northern Territory, Australia.
Anna KuchelUniversity of Queensland, Brisbane, Queensland, Australia.
Louise NottDepartment of Medical Oncology, Royal Hobart Hospital, Hobart, Tasmania, Australia.
Shamsudheen PadinharakamLaunceston General Hospital, Launceston, Tasmania, Australia.
Mark ShackletonDepartment of Oncology, Alfred Hospital, Melbourne, Victoria, Australia.
Ian M CollinsInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood Highway, Burwood, Geelong, Victoria, 3125, Australia.
Madhu SinghBarwon Health, Geelong, Victoria, Australia.
Rachel WongEastern Health, Melbourne, Victoria, Australia.
Zee Wan WongMonash Health, Clayton, Victoria, Australia.
Alexis ButlerPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Tharani SivakumaranPeter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Penelope Schofield *Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.
Linda Mileshkin *Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.

Funding

Medical Research Future Fund 2009027
6 · The paper itself

Abstract

backgroundPeople 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/

designThis 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 registrationACTRN12622001504707.

Indexed as

Early Detection of CancerNeoplasms, Unknown PrimaryHealth Care CostsHumansPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicCancerCareDiagnosisStepped-wedge clusterSupportUnknown primary cancer

Identifiers

PMID39881222
PMCPMC11776227

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.