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Record W2417850980 · doi:10.1097/ftd.0b013e3181c004f1

Testosterone Concentrations in Hair of Hypogonadal Men With and Without Testosterone Replacement Therapy

2009· article· en· W2417850980 on OpenAlexaff
Steven Thomson, Gideon Koren, Veronique Van Steen, Michael Rieder, Stan Van Uum

Bibliographic record

VenueTherapeutic Drug Monitoring · 2009
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsWestern University
Fundersnot available
KeywordsTestosterone (patch)MedicineInternal medicineEndocrinologyCircadian rhythmPhysiology

Abstract

fetched live from OpenAlex

BACKGROUND: The measurement of testosterone (T) is essential for the diagnosis of male hypogonadism and for monitoring treatment. Samples need to be obtained at specific times in relation to the diurnal rhythm and therapeutic T injections. In this study, we explored the measurement of T in hair as an alternative method to assess gonadal status and long-term T exposure in men. SUBJECTS AND METHODS: Thirty-six male subjects comprising 17 healthy volunteers, 10 untreated hypogonadal men, and nine hypogonadal men receiving T injections were studied. T was measured in serum and in hair. T in hair was measured using a commercially available salivary T enzyme immunoassay kit adapted for this use. RESULTS: The T concentration in the hair of hypogonadal men receiving T injections was significantly higher than that in untreated hypogonadal volunteers, but not eugonadal men. Median T concentrations were 3.66 (range, 0.82-15.00), 0.94 (range, 0.33-3.68), and 1.85 (range, 0.58-3.06) pg/g hair, respectively. CONCLUSIONS: T in hair reflects gonadal status in men and may be useful for monitoring T therapy over several weeks to months in hypogonadal men.

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)0.000
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 score0.093
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.032
GPT teacher head0.294
Teacher spread0.262 · 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".

Quick stats

Citations18
Published2009
Admission routes1
Has abstractyes

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