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Record W4399789781 · doi:10.58931/cpct.2024.2125

Management of Benign Prostatic Hyperplasia in 2024

2024· article· en· W4399789781 on OpenAlexaff
Luke M. Fazio

Bibliographic record

VenueCanadian Primary Care Today · 2024
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsHyperplasiaMedicineUrologyInternal medicine

Abstract

fetched live from OpenAlex

Benign prostatic hyperplasia (BPH) is a condition involving the proliferation of smooth muscle and epithelial cells within the transition zone of the prostate. The process by which this takes place is not precisely known. It does require that testosterone and 5-alpha reductase convert it to dihydrotestosterone (DHT) which is the active androgen within the prostate. The growth of the prostate results from an imbalance between cell growth and cell death. Obstruction occurs via compression of the urethra by the resulting hyperplastic nodules, as well as increased smooth muscle tone and resistance within the enlarged gland. It is an almost universal process in men beginning in their 40’s; it increases to a prevalence of 60% by age 60 and 80% by age 80.1 This results in progressive bladder outlet obstruction (BOO) and lower urinary tract symptoms (LUTs). Patients can range from being asymptomatic to severely symptomatic. In the most extreme cases, it can result in complete urinary retention and renal dysfunction. The annual economic impact of BPH has been estimated at nearly $4 billion in the Unites States.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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.

Opus teacher head0.011
GPT teacher head0.273
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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