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Record W2076636130 · doi:10.1016/j.juro.2012.02.1945

1451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY

2012· article· en· W2076636130 on OpenAlexaboutno aff
David Margel, Seetha Venkateswaran, Abbas Darwish, Antonio Finelli, John Trachtenberg, Karen Chadwick, Neil Fleshner

Bibliographic record

VenueThe Journal of Urology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProspective cohort studyMale-pattern baldnessProstate cancerCohortCancerGynecologyInternal medicineDermatology

Abstract

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You have accessJournal of UrologyProstate Cancer: Detection and Screening II1 Apr 20121451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY David Margel, Seetha Venkateswaran, Abbas Darwish, Antonio Finelli, John Trachtenberg, Karen Chadwick, and Neil Fleshner David MargelDavid Margel Toronto, Canada More articles by this author , Seetha VenkateswaranSeetha Venkateswaran Toronto, Canada More articles by this author , Abbas DarwishAbbas Darwish Toronto, Canada More articles by this author , Antonio FinelliAntonio Finelli Toronto, Canada More articles by this author , John TrachtenbergJohn Trachtenberg Toronto, Canada More articles by this author , Karen ChadwickKaren Chadwick Toronto, Canada More articles by this author , and Neil FleshnerNeil Fleshner Toronto, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1945AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Androgens play a role in the development of androgenic alopecia, commonly known as male pattern baldness. The ratio of the lengths of index and ring fingers (2D:4D) is also a marker of exposure to sex hormones, with low 2D:4D being indicative of high prenatal androgen action. Retrospective case control studies have demonstrated an association between male pattern baldness and 2D:4D ratio and prostate cancer. The aim of this study was to validate these findings in a prospective cohort. METHODS Upon approval from our local ethical review board we prospectively enrolled 196 consecutive patients referred to a prostate biopsy. Finger lengths were measured using a digital vernier calliper, and the 2D:4D ratio was calculated. Male pattern baldness was assessed on a scale of 0-4 using the standardized Norwood classification (0= no balding, 1= frontal balding, 2= Mild vortex, 3=moderate vortex and 4=severe vortex). We performed all measurements prior to the biopsy thus blinded to the pathology outcome. We performed a univariable and multivariable analysis to associate 2D:4D ratio and male pattern baldness with prostate cancer diagnosis at biopsy. The multivariable model included the two main predictors (male pattern baldness and 2D:4D ratio) as well age, digital rectal examination (normalvs abnormal) and PSA. RESULTS The median (IQR) age and PSA of our cohort was 64 (59-70) and 5.8 (4.1-8.4), respectively. Overall 109 patients (55%) were diagnosed with prostate cancer. On univariable analysis male pattern baldness was associated with prostate cancer (p for trend=0.03). However 2D:4D ratio was not. On multivariable analysis male pattern baldness remained a significant predictor of prostate cancer. Furthermore, we noted a dose response effect- the more severe balding patterns were more strongly associated with prostate cancer (Frontal balding OR 2.0 (95%CI 1.1-6.6); mild vortex OR 2.1 (95%CI 1.5-5.2); moderate vortex OR 2.5 (95%CI 1.2-7.1); severe vortex OR 2.9 (95%CI 1.1-4.3). CONCLUSIONS In a prospective cohort we found that male pattern baldness was an independent predictor of prostate cancer. Further studies are needed in order to assess whether the inclusion of male pattern baldness can contribute to existing models to predict prostate cancer prior to biopsy. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e588 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information David Margel Toronto, Canada More articles by this author Seetha Venkateswaran Toronto, Canada More articles by this author Abbas Darwish Toronto, Canada More articles by this author Antonio Finelli Toronto, Canada More articles by this author John Trachtenberg Toronto, Canada More articles by this author Karen Chadwick Toronto, Canada More articles by this author Neil Fleshner Toronto, Canada More articles by this author Expand All Advertisement 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.252
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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