CClinicalTrials.gg
Status unknownNCT05355727PROSAIC-DSUpdated May 2, 2022

PROSAIC-DS Study (PROState AI in Cancer - Decision Support)

An interventional study of Clinical decision support tool recommended outcome in Prostate Cancer, sponsored by Guy's and St Thomas' NHS Foundation Trust. Status unknown at 2 sites in United Kingdom. Open to male participants aged 35 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-05-02.

Sponsored by Guy's and St Thomas' NHS Foundation Trust · Not applicable, Interventional, and Other

The sponsor has not verified this record recently (last verified Apr 2022), so the status shown — last known as Not yet recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
1,040
Allocation
Randomized
Ages
35 Years and older
Sex
Male
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Study summary

Around 375,000 cancers are diagnosed in the UK annually, with this figure expected to reach 500,000 by 2035. As the number of different cancer treatment options and our scientific understanding continue to grow rapidly, it can be difficult for clinicians to keep up-to-date with best practice, causing unjustified variations in the quality of care and clinical outcomes for patients.

Currently, when a patient has been referred to and seen by a clinician, their treatment is then discussed in a Multi-Disciplinary Team Meeting (MDTM). MDTM is a meeting of medical experts, including Surgeons, Oncologists, Nurses, and specialists in cancer, imaging and diagnosis. This is the case even if a treatment decision is straightforward.

A nationwide review published by CRUK in 2017 highlighted the demands on cancer teams and the MDTM process:

  • Increased caseloads are causing dramatic increases in the time spent by clinicians in MDTMs, leading to an unsustainable rise in costs: the cost in England has increased from £88m to £159m in 4 years;
  • There is not enough time in the MDTM to discuss complex cases;
  • There is a failure to involve patients in the decision-making process: around 75% of patients feel their views are unrepresented in MDTMs; In our study we are looking at the potential of technology - particularly Clinical Decision Support Systems (CDSS) - to improve MDTM decision making.

Deontics has a CE marked AI-based CDSS that integrates individual patient data and preferences with evidence-based clinical guidelines. This dynamically and transparently generates best-practice, individualised treatment recommendations which can help determine treatment. Deontics' AI tool has already been shown to provide personalised recommendations concordant with UK best practice while incorporating patient values, and can be used to safely triage less complex patients straight to treatment with minimal clinical oversight. Our project partners with Deontics to develop PROSAIC-DS - A CDSS for prostate cancer.

Read the detailed description

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Conditions studied

  • Prostate Cancer

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In context

Prostatic Neoplasms

6,370 studies on the registry are indexed under Prostatic Neoplasms; 1,400 are open to participants now.

This study's planned enrollment of 1,040 is above the median of 58 across 4,822 interventional studies indexed under Prostatic Neoplasms.

Browse Prostatic Neoplasms studies →

Lead sponsor

Guy's and St Thomas' NHS Foundation Trust is the lead sponsor of 284 studies on the registry; 79 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
35 Years and older
Sexes eligible
Male
Accepts healthy volunteers
Yes

Inclusion criteria

  • All patients referred to the GSTT and KCH Prostate MDT meetings where sufficient information is available for the MDT to make a treatment decision (approximately 40-50 per week) will be eligible for the study.

Exclusion criteria

Exclusion Criteria:

  • If data available for patients is not adequate to make any treatment decisions they will be excluded. Non-consenting patients will be excluded.
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Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Outcomes assessor)
Enrollment
1,040 participants (estimated)

Study arms

  • Other
    Arm A: Visible to MDTM

    Patients going through this arm have the decision support tool outcome visible to the MDTM

    Other: Clinical decision support tool recommended outcome

  • Other
    Arm B: Not-visible to MDTM

    Patients going through this arm will not have the decision support tool outcome visible to the MDTM

    Other: Clinical decision support tool recommended outcome

Interventions

  • OtherClinical decision support tool recommended outcome

    The PROSAIC-DS tool will take the variables and produce a suggested outcome. It will supply supporting evidence and best practice for its recommendations

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What researchers measure

Primary outcomes

  1. PROSAIC-DS as a triage tool

    The % of patients the PROSAIC-DS tool can appropriately triage away non-complex Prostate Cancer cases from the MDTM with appropriate treatment plans as directed by approved guidelines (EAU, BAUS, NICE, AUA).

    Time frame: 6-9 months

  2. PROSAIC-DS influence on MDTM concordance with approved guidelines

    Evaluation of PROSAIC-DS as a member of the MDTM via the impact of live PROSAIC-DS recommendations on MDTM decision concordance with approved guidelines (EAU, BAUS, NICE, AUA) on randomised patients discussed in the MDTM. This is measured through the difference in level of concordance between the MDTM with PROSAIC-DS switched off and the MDTM with PROSAIC-DS on when less complex cases (ones triaged away) are excluded.

    Time frame: 6-9 months

Secondary outcomes

  1. Cost effectiveness of PROSAIC-DS

    Estimate the financial savings that PROSAIC-DS brings by triaging non-complex cases away from the MDTM.

    Time frame: 6-9 months - duration of data collection

  2. Qualitative Analysis: Patient acceptability

    We will use qualitative methods, and data capture methods including self-administered questionnaires, focus groups, semi-structured interviews and video analysis, to explore patient and staff views about, including concerns and satisfaction with, the use of AI technology to support clinical decisions in prostate cancer, both prior to their engagement with PROSAIC-DS, during and after deployment of the tool of the technology to patients.

    Time frame: 12 months

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Study locations

2 sites
  • Guys and St Thomas Hospitals
    London, SE1 9RT, United Kingdom
  • Kings College Hospital
    London, SE5 9RS, United Kingdom
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References and documents

Publications

  • Knight SR, Cao KN, South M, Hayward N, Hunter JP, Fox J. Development of a Clinical Decision Support System for Living Kidney Donor Assessment Based on National Guidelines. Transplantation. 2018 Oct;102(10):e447-e453. doi: 10.1097/TP.0000000000002374. PubMed 30028418 ↗
  • Taylor C, Atkins L, Richardson A, Tarrant R, Ramirez AJ. Measuring the quality of MDT working: an observational approach. BMC Cancer. 2012 May 29;12:202. doi: 10.1186/1471-2407-12-202. PubMed 22642614 ↗
  • Munro AJ. Multidisciplinary Team Meetings in Cancer Care: An Idea Whose Time has Gone? Clin Oncol (R Coll Radiol). 2015 Dec;27(12):728-31. doi: 10.1016/j.clon.2015.08.008. Epub 2015 Sep 11. No abstract available. PubMed 26365047 ↗
  • Patkar V, Acosta D, Davidson T, Jones A, Fox J, Keshtgar M. Cancer multidisciplinary team meetings: evidence, challenges, and the role of clinical decision support technology. Int J Breast Cancer. 2011;2011:831605. doi: 10.4061/2011/831605. Epub 2011 Jul 17. PubMed 22295234 ↗
  • Miles A, Chronakis I, Fox J, Mayer A. Use of a computerised decision aid (DA) to inform the decision process on adjuvant chemotherapy in patients with stage II colorectal cancer: development and preliminary evaluation. BMJ Open. 2017 Mar 24;7(3):e012935. doi: 10.1136/bmjopen-2016-012935. PubMed 28341685 ↗
  • Patkar V, Acosta D, Davidson T, Jones A, Fox J, Keshtgar M. Using computerised decision support to improve compliance of cancer multidisciplinary meetings with evidence-based guidance. BMJ Open. 2012 Jun 25;2(3):e000439. doi: 10.1136/bmjopen-2011-000439. Print 2012. PubMed 22734113 ↗
  • Patkar V, Hurt C, Steele R, Love S, Purushotham A, Williams M, Thomson R, Fox J. Evidence-based guidelines and decision support services: A discussion and evaluation in triple assessment of suspected breast cancer. Br J Cancer. 2006 Dec 4;95(11):1490-6. doi: 10.1038/sj.bjc.6603470. Epub 2006 Nov 21. PubMed 17117181 ↗
  • Peleg M, Fox J, Patkar V, Glasspool D, Chronakis I, South M, Nassar S, Gaglia JL, Gharib H, Papini E, Paschke R, Duick DS, Valcavi R, Hegedus L, Garber JR. A Computer-Interpretable Version of the AACE, AME, ETA Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules. Endocr Pract. 2014 Apr;20(4):352-9. doi: 10.4158/EP13271.OR. PubMed 24246343 ↗
  • Bury J, Hurt C, Roy A, Cheesman L, Bradburn M, Cross S, Fox J, Saha V. LISA: a web-based decision-support system for trial management of childhood acute lymphoblastic leukaemia. Br J Haematol. 2005 Jun;129(6):746-54. doi: 10.1111/j.1365-2141.2005.05541.x. PubMed 15953000 ↗
  • Tural C, Ruiz L, Holtzer C, Schapiro J, Viciana P, Gonzalez J, Domingo P, Boucher C, Rey-Joly C, Clotet B; Havana Study Group. Clinical utility of HIV-1 genotyping and expert advice: the Havana trial. AIDS. 2002 Jan 25;16(2):209-18. doi: 10.1097/00002030-200201250-00010. PubMed 11807305 ↗
  • Walton RT, Gierl C, Yudkin P, Mistry H, Vessey MP, Fox J. Evaluation of computer support for prescribing (CAPSULE) using simulated cases. BMJ. 1997 Sep 27;315(7111):791-5. doi: 10.1136/bmj.315.7111.791. PubMed 9345174 ↗
  • Patkar V, Fox J. Clinical guidelines and care pathways: a case study applying PROforma decision support technology to the breast cancer care pathway. Stud Health Technol Inform. 2008;139:233-42. PubMed 18806332 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 2, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05355727
Lead sponsor
Guy's and St Thomas' NHS Foundation Trust
Collaborators
King's College Hospital NHS Trust, King's College London, Deontics Limited, Somerset NHS Foundation Trust, Prostate Cancer UK
Responsible party
Sponsor
First posted
May 2, 2022
Start date
Jun 2022 (estimated)
Primary completion
Dec 2022 (estimated)
Completion
Dec 2022 (estimated)
Last update
May 2, 2022

Study contacts

Danny Ruta, MBBS MSc
Contact
Danny.Ruta@gstt.nhs.uk
+44 (0)7969917016
Kate Dodgson, LLB LLM
Contact
kate.dodgson@deontics.com
+447704783880
Danny Ruta, MBBS MSc
principal investigator · Guys and St Thomas NHS Foundation Trust

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Apr 2022. You cannot join it, but the record below documents what was studied.

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