Canadian Urological Association best practice report: Diagnosis and management of nocturia
Bibliographic record
Abstract
CUA BPR: Nocturia age-dependent, typically established by age 3-5, and leads to decreased nocturnal urine volume.Arginine vasopressin (AVP, or antidiuretic hormone [ADH]) is released from the posterior pituitary and serves as the primary hormone regulating renal water excretion.Factors such as high serum osmolality, hypovolemia, and angiotensin II stimulate AVP, leading to water reabsorption, whereas factors such as atrial natriuretic peptide (ANP/ANH), prostaglandin E2 (PGE2), and hypercalcemia inhibit AVP, leading to diuresis.10 With aging, however, the circadian rhythm of release of these hormones is blunted, which can increase nocturnal urine production.Normal bladder function requires adequate bladder storage and emptying abilities.This requires coordination of multiple components, including the central and peripheral nervous systems, detrusor smooth muscle function, and urethral and pelvic floor function.In addition, the bladder urothelium seems to have a role in regulating urinary function and possibly contributing to AVP-mediated water homeostasis.10 Important considerations for the general patient population are that bladder capacity may diminish with age, and nocturnal detrusor overactivity may occur in patients with underlying overactive bladder (OAB).Recommendation: Patients presenting with nocturia should be counselled on the multifactorial mechanisms that may contribute to nocturia, and clinicians should consider the symptom in the context of the patient's comorbidities, as well as dietary, lifestyle, and voiding behaviors.Consultation should elicit the patient's degree of bother/ impact on quality of life (strong recommendation, moderate level of evidence).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".