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MP40-05 DIAGNOSIS AND MANAGEMENT OF TESTOSTERONE DEFICIENCY - COMPARISON OF CURRENT GUIDELINES

2019· article· en· W2942115908 on OpenAlexaboutno aff
Jethro C.C. Kwong, Yonah Krakowsky, Ethan D. Grober

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCurrent (fluid)Testosterone (patch)Intensive care medicineInternal medicine

Abstract

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You have accessJournal of UrologySexual Function/Dysfunction: Evaluation I (MP40)1 Apr 2019MP40-05 DIAGNOSIS AND MANAGEMENT OF TESTOSTERONE DEFICIENCY - COMPARISON OF CURRENT GUIDELINES Jethro C.C. Kwong*, Yonah Krakowsky, and Ethan Grober Jethro C.C. Kwong*Jethro C.C. Kwong* More articles by this author , Yonah KrakowskyYonah Krakowsky More articles by this author , and Ethan GroberEthan Grober More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556097.43986.deAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Testosterone deficiency (TD) is characterized by low levels of testosterone (T) with associated signs and symptoms. Several controversies related to approach to TD have been identified. We compare current guidelines for the diagnosis and management of TD, as well as special considerations for specific patient populations. METHODS: The following guidelines were included for analysis: American Urological Association (AUA, 2018), European Association of Urology (EAU, 2018), Endocrine Society (ES, 2018), and Canadian Medical Association (CMAJ, 2015). The comparison focused on the biochemical definition (cut-off) for low T, principles of management of TD, and recommendations for patients with low-to-normal total testosterone, prostate cancer, or cardiovascular disease. RESULTS: Recommendations are generally consistent across guidelines, however there are notable differences (Table 1). For biochemical cut-off, most guidelines require 2 lab measurements of total T ranging between 8 to 10.4 nmol/L, however the CMAJ requires only one measurement and has no specific cut-off. In patients with low-to-normal total T, additional hormonal evaluation is recommended, however only the CMAJ suggests a 3-month trial of TTh in symptomatic patients. The ES has the strictest recommendations for patients with TD and prostate cancer. Other guidelines generally recommend against TTh in patients with metastatic prostate cancer. Although there is limited evidence linking TTh and risk of cardiovascular events (MI, stroke, sudden CV death), the AUA and EAU impose more restrictions in offering TTh to patients with cardiovascular disease. Notably, the AUA recommends against TTh if patients experienced a cardiovascular event within the past 3-6 months, while the EAU states that TTh is contraindicated in patients with NYHA Class IV heart failure. In contrast, the CMAJ recommends TTh in patients with stable cardiovascular disease. CONCLUSIONS: While there is consensus among current guidelines on TD, notable differences may impact diagnosis and eligibility for TTh. Additional work is needed to consolidate recommendations across guidelines, especially for specific patient populations. We highlight the limitations of relying exclusively on guidelines in managing patients with TD. Source of Funding: None Toronto, Canada© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e587-e588 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jethro C.C. Kwong* More articles by this author Yonah Krakowsky More articles by this author Ethan Grober More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.011
metaresearch head score (Gemma)0.038
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: Review
Teacher disagreement score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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.

Opus teacher head0.093
GPT teacher head0.380
Teacher spread0.287 · 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
Published2019
Admission routes1
Has abstractyes

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