The Evolving Landscape of Bladder Tertiary Lymphoid Structures
Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Jul 2023The Evolving Landscape of Bladder Tertiary Lymphoid Structures Madhuri Koti and D. Robert Siemens Madhuri KotiMadhuri Koti Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada and D. Robert SiemensD. Robert Siemens Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada Editor View All Author Informationhttps://doi.org/10.1097/JU.0000000000003530AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "The Evolving Landscape of Bladder Tertiary Lymphoid Structures." The Journal of Urology, 210(1), pp. 3–4 REFERENCES 1. . The roles of tertiary lymphoid structures in chronic diseases. Nat Rev Nephrol. 2023:1-13. Medline, Google Scholar 2. . Friend or foe: the protective and pathological roles of inducible bronchus-associated lymphoid tissue in pulmonary diseases. J Immunol. 2019; 202(9):2519-2526. Crossref, Medline, Google Scholar 3. . Comparative study of cartilaginous fish divulges insights into the early evolution of primary, secondary and mucosal lymphoid tissue architecture. Fish Shellfish Immunol. 2020; 107(Pt B):435-443. Crossref, Medline, Google Scholar 4. . Bladder mucosal cystitis cystica lesions are tertiary lymphoid tissues that correlate with recurrent urinary tract infection frequency in postmenopausal women. J Urol. 2023; 209(5):928-936. Link, Google Scholar 5. . Could sublingual vaccination be a viable option for the prevention of recurrent urinary tract infection in Canada? A systematic review of the current literature and plans for the future. Can Urol Assoc J. 2020; 14(8):281-287. Crossref, Medline, Google Scholar 6. . Adaptive immunity in genitourinary cancers. Eur Urol Oncol. 2023. Crossref, Medline, Google Scholar 7. . Tertiary lymphoid structures associate with tumour stage in urothelial bladder cancer. Bladder Cancer. 2017; 3(4):259-267. Crossref, Medline, Google Scholar 8. . Prognostic value of cystocopically pseudotumoral lesions (inflammation/granuloma) in primary stage T1 grade 3 bladder tumors treated with BCG. Int Urol Nephrol. 2001; 33(3):469-472. Crossref, Medline, Google Scholar 9. . Intravesical bacillus Calmette-Guerin therapy for superficial bladder cancer: effect of bacillus Calmette-Guerin viability on treatment results. J Urol. 1985; 134(1):48-53. Link, Google Scholar 10. . Sex differences in the aging murine urinary bladder and influence on the tumor immune microenvironment of a carcinogen-induced model of bladder cancer. Biol Sex Differ. 2022; 13(1):19. Crossref, Medline, Google Scholar © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 210Issue 1July 2023Page: 3-4 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.Metrics Author Information Madhuri Koti Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada More articles by this author D. Robert Siemens Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada Editor More articles by this author Expand All Advertisement PDF downloadLoading ...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".