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Record W4281645629 · doi:10.1097/ju.0000000000002791

Secondary Polycythemia in Men Receiving Testosterone Therapy Increases Risk of Major Adverse Cardiovascular Events and Venous Thromboembolism in the First Year of Therapy. Reply.

2022· letter· en· W4281645629 on OpenAlexaffabout
Jesse Ory, Ranjith Ramasamy

Bibliographic record

VenueThe Journal of Urology · 2022
Typeletter
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineAdverse effectMiamiTestosterone (patch)Internal medicineVenous thromboembolismPharmacyThrombosisFamily medicine

Abstract

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No AccessJournal of UrologyLetters to the Editor1 Sep 2022Secondary Polycythemia in Men Receiving Testosterone Therapy Increases Risk of Major Adverse Cardiovascular Events and Venous Thromboembolism in the First Year of Therapy. Reply.is a reply to letterSecondary Polycythemia in Men Receiving Testosterone Therapy Increases Risk of Major Adverse Cardiovascular Events and Venous Thromboembolism in the First Year of Therapy. Letter. Jesse Ory and Ranjith Ramasamy Jesse OryJesse Ory Department of Urology, Dalhousie University, Halifax, Canada More articles by this author and Ranjith RamasamyRanjith Ramasamy *Correspondence: University of Miami, Miami, Florida, E-mail Address: [email protected] University of Miami, Miami, Florida More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002791AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Secondary Polycythemia in Men Receiving Testosterone Therapy Increases Risk of Major Adverse Cardiovascular Events and Venous Thromboembolism in the First Year of Therapy. Reply.." The Journal of Urology, 208(3), p. 567 References 1. : Adherence to drugs that prevent cardiovascular disease: meta-analysis on 376,162 patients. Am J Med 2012; 125: 882. Google Scholar 2. : The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol 1997; 50: 105. Google Scholar 3. : Medication adherence and treatment patterns for hypogonadal patients treated with topical testosterone therapy: a retrospective medical claims analysis. J Sex Med 2013; 10: 1401. Google Scholar Submitted May 23, 2022; accepted May 25, 2022; published June 1, 2022. https://doi.org/10.1097/JU.0000000000002791 © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of Urology1 Jun 2022Secondary Polycythemia in Men Receiving Testosterone Therapy Increases Risk of Major Adverse Cardiovascular Events and Venous Thromboembolism in the First Year of Therapy. Letter. Volume 208Issue 3September 2022Page: 567-567 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jesse Ory Department of Urology, Dalhousie University, Halifax, Canada More articles by this author Ranjith Ramasamy University of Miami, Miami, Florida *Correspondence: University of Miami, Miami, Florida, E-mail Address: [email protected] More articles by this author Expand All Submitted May 23, 2022; accepted May 25, 2022; published June 1, 2022. https://doi.org/10.1097/JU.0000000000002791 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)0.004
metaresearch head score (Gemma)0.022
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0110.018
Insufficient payload (model declined to judge)0.0120.007

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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
GenreCommentary

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

Citations1
Published2022
Admission routes2
Has abstractyes

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