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Record W4405228772 · doi:10.1093/jbmr/zjae194

Romosozumab improves microarchitecture as assessed by tissue thickness–adjusted trabecular bone score in postmenopausal women with osteoporosis

2024· article· en· W4405228772 on OpenAlexaff
Michael R. McClung, Donald Betah, Benjamin Z. Leder, David L. Kendler, Mary Oates, Jen Timoshanko, Zhenxun Wang

Bibliographic record

VenueJournal of Bone and Mineral Research · 2024
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of British Columbia
FundersUCB PharmaAstellas PharmaAmgen
KeywordsMedicineOsteoporosisTrabecular bone scoreBone mineralFRAXInternal medicineDentistryPostmenopausal womenBone densityUrologyQuantitative computed tomographyOsteoporotic fracture

Abstract

fetched live from OpenAlex

Bone mineral density (BMD) is only one of several bone strength determinants affected by osteoporosis therapies. Trabecular Bone Score (TBS), a gray-level texture index determined from lumbar spine (LS) dual-X-ray absorptiometry scans, is an indirect measure of bone microarchitecture independent of and complementary to BMD and clinical risk factors. In the Active-Controlled Fracture Study in Postmenopausal Women with Osteoporosis at High Risk (ARCH), monthly subcutaneous romosozumab 210 mg for 12 mo followed by 24-mo open-label weekly oral alendronate 70 mg (romosozumab-to-alendronate) significantly reduced fracture risk compared to 36-mo alendronate alone in postmenopausal women with osteoporosis and prior fracture. This analysis evaluated tissue thickness-adjusted TBS (TBSTT) in a subgroup of patients from ARCH who had post-hoc TBS measurements at baseline and at least one post-baseline visit at months 12, 24, and 36. Baseline characteristics were similar between romosozumab-to-alendronate (n = 190) and alendronate alone (n = 188). Romosozumab led to significantly greater gains in TBSTT vs alendronate at month 12 (least squares mean difference, 3.6%), with greater gains maintained after transition to alendronate and persisting at months 24 (2.9%) and 36 (2.3%; all p<.001). Romosozumab-to-alendronate increased the percentage of individual patients with "normal" TBSTT from 28.9% at baseline to 48.1%, 43.9%, and 45.4% at months 12, 24, and 36, respectively, and decreased the percentage of individual patients with degraded TBSTT from 52.6% to 33.3%, 36.0%, and 33.5%, respectively (all p<.001). A similar but smaller trend was observed with alendronate alone from baseline through month 36 (p ≤.012). Changes in TBSTT and LS BMD were largely unrelated from baseline to month 12 (romosozumab-to-alendronate, r2 = 0.065; alendronate alone, r2 = 0.021) and month 36 (r2 = 0.058; r2 = 0.057, respectively). In postmenopausal women with osteoporosis and prior fracture, 12-mo romosozumab followed by 24-mo alendronate significantly improved bone microarchitecture estimated by TBSTT more than 36-mo alendronate alone.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.025
GPT teacher head0.350
Teacher spread0.325 · 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

Citations19
Published2024
Admission routes1
Has abstractyes

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