Observational studyBMC cancer2017
DETECT I & DETECT II: a study protocol for a prospective multicentre observational study to validate the UroMark assay for the detection of bladder cancer from urinary cells.
Observational study in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.
What it found
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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.
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.
A Prospective Observational Study to Determine the Negative Predictive Value of UroMark to Rule Out the Presence of Bladder Cancer in Patients With Haematuria.
A Multicentre Observational Study Design to Determine the Sensitivity of the UroMark Assay, a Urine Test, to Detect New and Recurrent Low, Intermediate and High Grade Bladder Cancer
Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Photodynamic versus white-light-guided resection of first-diagnosis non-muscle-invasive bladder cancer: PHOTO RCT.Health technology assessment (Winchester, England) · 2022Trial
- Urine-derived induced pluripotent stem cells for non-invasive diagnosis of bladder cancer.Journal of Cancer · 2026Review
- Developing a prediction model in a large case-control study for the early detection of bladder cancer.Journal of translational medicine · 2025Article
- Use of Multiple Machine Learning Approaches for Selecting Urothelial Cancer-Specific DNA Methylation Biomarkers in Urine.International journal of molecular sciences · 2024Article
- The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022Review
- Toward urinary cell-free DNA-based treatment of urothelial carcinoma: a narrative review.Translational andrology and urology · 2021Review
- Exploring patients' experience and perception of being diagnosed with bladder cancer: a mixed-methods approach.BJU international · 2020Observational
- Emerging Roles of Urine-Based Tumor DNA Analysis in Bladder Cancer Management.JCO precision oncology · 2020Review
- Mixed-methods approach to exploring patients' perspectives on the acceptability of a urinary biomarker test in replacing cystoscopy for bladder cancer surveillance.BJU international · 2019Observational
- Development and validation of a haematuria cancer risk score to identify patients at risk of harbouring cancer.Journal of internal medicine · 2019Article
- Epidemiology, aetiology and screening of bladder cancer.Translational andrology and urology · 2019Review
- Does urinary cytology have a role in haematuria investigations?BJU international · 2019Observational
- Can Renal and Bladder Ultrasound Replace Computerized Tomography Urogram in Patients Investigated for Microscopic Hematuria?The Journal of urology · 2018Article
- Urinary biomarker for the detection of recurrence following non-muscle invasive bladder cancer: are we there yet?Translational andrology and urology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundHaematuria is a common finding in general practice which requires visual inspection of the bladder by cystoscopy as well as upper tract imaging. In addition, patients with non-muscle invasive bladder cancer (NMIBC) often require surveillance cystoscopy as often as three monthly depending on disease risk. However, cystoscopy is an invasive procedure which is uncomfortable, requires hospital attendance and is associated with a risk of urinary tract infection. We have developed the UroMark assay, which can detect 150 methylation specific alteration specific to bladder cancer using DNA from urinary sediment cells.
methodsDETECT I and DETECT II are two multi-centre prospective observational studies designed to conduct a robust validation of the UroMark assay. DETECT I will recruit patients having diagnostic investigations for haematuria to determine the negative predictive value of the UroMark to rule out the presence of bladder cancer. DETECT II will recruit patients with new or recurrent bladder cancer to determine the sensitivity of the UroMark in detecting low, intermediate and high grade bladder cancer. NMIBC patients in DETECT II will be followed up with three monthly urine sample collection for 24 months while having surveillance cystoscopy. DETECT II will include a qualitative analysis of semi-structured interviews to explore patients' experience of being diagnosed with bladder cancer and having cystoscopy and a urinary test for bladder cancer surveillance. Results of the UroMark will be compared to cystoscopy findings and histopathological results in patients with bladder cancer. DISCUSSION: A sensitive and specific urinary biomarker will revolutionise the haematuria diagnostic pathway and surveillance strategies for NMIBC patients. None of the six approved US Food and Drug Administration urinary test are recommended as a standalone test. The UroMark assay is based on next generation sequencing technology which interrogates 150 loci and represents a step change compared to other biomarker panels. This enhances the sensitivity of the test and by using a random forest classifier approach, where the UroMark results are derived from a cut off generated from known outcomes of previous samples, addresses many shortcomings of previous assays.
trial registrationBoth trails are registered on clinicaltrials.gov. DETECT I: NCT02676180 (18th December 2015). DETECT II: NCT02781428 (11th May 2016).
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What OpenQuestion holds
Registered trials
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.