MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Bladder and Urothelial Cancer Treatments
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,070 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,070 works in the cohort · of 4,299,418page 5 of 62

Labels cover 8 of 3,070 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,070 of 3,070 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
A delay in radical nephroureterectomy can lead to upstaging
Matthias Waldert, Pierre I. Karakiewicz, Jay D. Raman, Mesut Remzi, Hendrik Isbarn, Yair Lotan +4 more
2009· article· en· British Journal of Urology· Medicine
machine prediction:candidate · noneconsensus · none
99
citations
affno abstractunlabeled
Microsatellite Analysis of Voided-Urine Samples for Surveillance of Low-Grade Non-Muscle-Invasive Urothelial Carcinoma: Feasibility and Clinical Utility in a Prospective Multicenter Study (Cost-Effectiveness of Follow-Up of Urinary Bladder Cancer Trial [CEFUB])
Madelon N.M. van der Aa, Ellen C. Zwarthoff, Ewout W. Steyerberg, Merel W. Boogaard, Yvette Nijsen, Kirstin A. van der Keur +4 more
2008· article· en· European Urology· Medicine
machine prediction:candidate · noneconsensus · none
96
citations
affunlabeled
Key concerns about the current state of bladder cancer
Yair Lotan, Ashish M. Kamat, Michael P. Porter, Victoria Robinson, Neal D. Shore, Michael Jewett +4 more
2009· article· en· Cancer· Medicine
machine prediction:candidate · noneconsensus · none
96
citations
affno abstractunlabeled
The Importance of Hospital and Surgeon Volume as Major Determinants of Morbidity and Mortality After Radical Cystectomy for Bladder Cancer: A Systematic Review and Recommendations by the European Association of Urology Muscle-invasive and Metastatic Bladder Cancer Guideline Panel
Harman Max Bruins, Erik Veskimäe, Virginia Hernández, Y. Neuzillet, Richard Cathomas, Éva Compérat +9 more
2019· review· en· European Urology Oncology· Medicine
machine prediction:candidate · noneconsensus · none
92
citations
affno abstractunlabeled
Urothelial Carcinoma of the Prostate
Juan Palou, Jack Baniel, Laurence Klotz, David P. Wood, Michael S. Cookson, Seth P. Lerner +4 more
2007· review· en· Urology· Medicine
machine prediction:candidate · noneconsensus · none
88
citations
affno abstractunlabeled
Diagnosis and Staging of Bladder Cancer
Maxine Sun, Quoc‐Dien Trinh
2014· review· en· Hematology/Oncology Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
86
citations

How this was built: Screen · Findings · About