A Multicenter Prospective Randomized Controlled Trial Comparing Cxbladder Triage to Cystoscopy in Patients With Microhematuria: The Safe Testing of Risk for Asymptomatic Microhematuria Trial
Bibliographic record
Abstract
PURPOSE: AUA guidelines for patients with microhematuria (≥3 red blood cells [RBC]/high-power field [hpf]) include cystoscopy for most over age 40 due to risk of urothelial cancer (UC). Cxbladder Triage (CxbT) is a urinary genomic test with UC negative predictive value of 99%. In this prospective randomized controlled trial, we compared cystoscopy use in a standard of care (SOC) arm vs a marker-based approach. MATERIALS AND METHODS: All patients with hematuria provided urine for a CxbT. Those categorized as lower risk (LR), defined as 3 to 29 RBC/hpf and minimal smoking history (<10 pack-years) were randomized between the test group provided with the CxbT result vs the SOC control group. Negative CxbT patients were offered omission of cystoscopy with surveillance. "Not lower risk" (NLR) patients (>30 RBC/hpf or >10 pack-year smoking history) had a CxbT but otherwise SOC. Patient decision and outcomes were recorded. RESULTS: Of 390 eligible patients, 255 were NLR and 135 were LR randomized to CxbT informed decision or SOC. The median age was 62 years (range 18-94) and 54% were male. Overall, 63% of CxbT tests were negative. For NLR patients, 82% had cystoscopy. In the LR control group, cystoscopy was performed in 67% of SOC and 27% in the test group (relative risk 0.41 [95% CI 0.27-0.61]). Compared to cystoscopy, CxbT had 90% sensitivity, 56% specificity, and 99% negative predictive value for UC. CONCLUSIONS: In this prospective randomized controlled trial, use of CxbT in patients with LR hematuria resulted in 59% reduction of cystoscopy use. This clinical utility of CxbT can reduce the burden of unnecessary cystoscopies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".