Benign prostatic hyperplasia: epidemiology, economics and evaluation.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Benign prostatic hyperplasia (BPH) is arguably the most common benign disease of mankind. As men age, the prostate inexorably grows often causing troubling symptoms causing them to seek out care. While traditionally treated by transurethral resection or open surgical removal of the hypertrophied adenoma, today the urologist has numerous medical, surgical and minimally invasive techniques available. In this supplement The Canadian Journal of Urology provides a review of the various techniques and medications available today. MATERIALS AND METHODS: As an introduction to the supplement, the aim of this article is to review the epidemiology and economy of BPH as well as its natural history and diagnosis. A systematic review of available literature was looking for articles on BPH and its epidemiology, economics, natural history and management using PubMed database. RESULTS: The prevalence of this condition is increasing with the population aging and so does the economic burden. The exact etiology of this condition is unknown, but some risk factors have been identified. The diagnostic and treatment of this very common disease should rely on a strong collaboration between primary care physician and urologist. CONCLUSION: There are multiple options in treating BPH including medical, surgical and newer minimally invasive options. The challenge with having a variety of options is to review them with the patient and help the patient select the best treatment option for their condition.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it