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Record W2093731091 · doi:10.1300/j074v18n04_03

Past-Users of HRT are Osteopenic Four Months After Discontinuation: An Observational and Cross-Sectional Study

2006· article· en· W2093731091 on OpenAlexaff
Mylène Aubertin‐Leheudre, Michel O. Mélançon, Jean‐Philippe Chaput, Isabelle J. Dionne

Bibliographic record

VenueJournal of Women & Aging · 2006
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDiscontinuationMedicineObservational studyOsteoporosisOsteopeniaHormone replacement therapy (female-to-male)Bone mineralHormonal replacement therapyProspective cohort studyPhysical therapyMenopauseInternal medicinePediatricsTestosterone (patch)

Abstract

fetched live from OpenAlex

Hormonal replacement therapy (HRT) helps to prevent osteoporosis. The effect of short-term discontinuation of a long-term HRT on bone mineral density (BMD) in healthy post-menopausal women is unknown. Fifteen women on HRT (HRT users), 17 who never used HRT (non-users) and 8 former HRT users (past-HRT users) were recruited. BMD was measured by DXA. Our results allow to hypothesize that BMD may decline after short-term HRT discontinuation, which would increase the fracture risks. Indeed, our results show that past-HRT users are osteopenic just as non-users. However, these results should be re-examined using a prospective trial and a larger sample size.

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)0.002
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 score0.003
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.061
GPT teacher head0.367
Teacher spread0.305 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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