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Record W2112590956 · doi:10.1210/jc.2003-1703

Early Changes in Biochemical Markers of Bone Formation Correlate with Improvements in Bone Structure during Teriparatide Therapy

2005· article· en· W2112590956 on OpenAlexaff
Harald Dobnig, Adrien Sipos, Yebin Jiang, Astrid Fahrleitner‐Pammer, Louis-Georges Ste-Marie, John C. Gallagher, Imre Pávó, Jingyuan Wang, Erik Fink Eriksen

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2005
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversité de MontréalHôpital Saint-LucCentre Hospitalier de l’Université de Montréal
FundersEli Lilly and Company
KeywordsTeriparatideBone structureBone formationOsteoporosisMedicineBone remodelingInternal medicineEndocrinologyBone mineralAnatomy

Abstract

fetched live from OpenAlex

CONTEXT: Biochemical markers of bone turnover may reflect bone structure during anabolic treatment. OBJECTIVE: The objective was to evaluate associations between changes in biochemical markers and structural and dynamic bone parameters during teriparatide treatment. DESIGN: This study was a randomized, multicenter, double-blind, placebo-controlled fracture prevention trial, with 20-month median treatment duration for biopsy subset. SETTING: The trial was conducted at 11 clinical study sites. PATIENTS: Sixty-one postmenopausal women with osteoporosis who had paired transiliac biopsy specimens participated in the study. INTERVENTIONS: Once-daily sc injections of either placebo or teriparatide (20 or 40 microg) were administered. MAIN OUTCOME MEASURES: The study measured: 1) serum and urinary biochemical markers of bone formation [bone alkaline phosphatase and procollagen I C-terminal propeptide (PICP)] and resorption (N-telopeptide and deoxypyridinoline); and 2) structural and dynamic analyses of bone biopsies, including two-dimensional (2D) histomorphometry and three-dimensional (3D) micro-computed tomography evaluations measured at baseline (n = 57) and 12 (n = 21) or 22 (n = 36) months. RESULTS: U-N-telopeptide/creatinine and serum-PICP correlated with bone structure and dynamic indices at baseline, respectively. Changes in bone alkaline phosphatase at 1 month correlated with changes at 22 months in 2D wall thickness (r = 0.73; P = 0.001), trabecular bone volume (trabecular bone volume per total volume, BV/TV) (r = 0.58; P < 0.05), marrow star volume (r = -0.51; P = 0.05); 3D trabecular thickness (r = 0.49; P < 0.05), and BV/TV (r = 0.54; P < 0.05). Changes in PICP at 1 month correlated with changes in wall thickness (r = 0.60; P = 0.01), and 2D BV/TV (r = 0.51; P < 0.05) at 22 months. Changes in markers at 6 or 12 months were not associated with changes in structural or dynamic parameters. CONCLUSIONS: Early (1-month) changes in biochemical markers of bone formation, but not resorption, correlated with improvements in bone structure after 22 months of teriparatide therapy.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.369
Teacher spread0.336 · 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 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

Citations193
Published2005
Admission routes1
Has abstractyes

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