Biomarkers for the Diagnosis and Prognosis of Neurogenic Bladder—Is the Need Being Addressed?
Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Jan 2019Biomarkers for the Diagnosis and Prognosis of Neurogenic Bladder—Is the Need Being Addressed? Peter Metcalfe Peter MetcalfePeter Metcalfe Division of Urology and Pediatric Surgery, University of Alberta Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada View All Author Informationhttps://doi.org/10.1097/01.ju.0000550111.69080.b0AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Biomarkers for the Diagnosis and Prognosis of Neurogenic Bladder—Is the Need Being Addressed?." The Journal of Urology, 201(1), pp. 44–45 References 1. : Nerve growth factor (NGF): a potential urinary biomarker for overactive bladder syndrome (OAB)?BJU Int 2013; 111: 372. Google Scholar 2. : Current concepts in urinary biomarkers for overactive bladder: what is the evidence?Curr Bladder Dysfunct Rep 2017; 12: 260. Google Scholar 3. : Urinary biomarkers for bladder outlet obstruction. Curr Bladder Dysfunct Rep 2017; 12: 129. Google Scholar 4. : Oxidative stress biomarkers in urine and plasma of rabbits with partial bladder outlet obstruction. BJU Int 2011; 107: 1839. Google Scholar 5. : Correlation between cystometric volumes, ATP release, and pH in women with overactive bladder versus controls. Neurourol Urodyn 2013; 32: 969. Google Scholar 6. : Increased urinary adenosine triphosphate in patients with bladder outlet obstruction due to benign prostate hyperplasia. Prostate 2016; 76: 1353. Google Scholar 7. : What is the role for biomarkers for lower urinary tract disorders? ICI-RS 2013. Neurourol Urodyn 2014; 33: 602. Google Scholar 8. : Nerve growth factor does not seem to be a biomarker for neurogenic lower urinary tract dysfunction after spinal cord injury. Neurourol Urodyn 2017; 36: 659. Google Scholar 9. : Urinary nerve growth factor level in children with neurogenic bladder due to myelomeningocele. Scand J Urol 2013; 47: 411. Google Scholar 10. : Urinary biomarkers in patients with detrusor underactivity with and without bladder function recovery. Int Urol Nephrol 2017; 49: 1763. Google Scholar 11. : The value of urinary BDNF levels on assessment of the botulinum toxin type A treatment for neurogenic detrusor overactivity in children with myelodysplasia. Eur Urol Suppl 2017; 16: e823. Google Scholar 12. : Value of urinary brain-derived neurotrophic factor levels on the assessment of botulinum toxin type A treatment for neurogenic detrusor overactivity in children with myelodysplasia. J Urol 2019; 201: 174. Link, Google Scholar © 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue 1January 2019Page: 44-45 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Peter Metcalfe Division of Urology and Pediatric Surgery, University of Alberta Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada 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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.040 | 0.018 |
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".