Evidence map›Paper›PMID 40720735›Full record

SynthesisJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2025

Treatment-related changes in total hip bone mineral density are applicable to trials of varied study designs and to drugs with differing mechanisms of action: meta-regression results from the FNIH-ASBMR SABRE study.

Tatiane Vilaca, Li-Yung Lui, Marian Schini, Susan K Ewing, Austin Thompson, Eric Vittinghoff, Douglas C Bauer, Dennis M Black, Mary L Bouxsein, Richard Eastell

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tatiane VilacaDivision of Clinical Medicine, University of Sheffield, Sheffield, S57AU, United Kingdom.ORCID 0000-0002-9227-6076
Li-Yung LuiResearch Institute, California Pacific Medical Center, San Francisco, CA 94158, United States.
Marian SchiniDivision of Clinical Medicine, University of Sheffield, Sheffield, S57AU, United Kingdom.ORCID 0000-0003-2204-2095
Susan K EwingDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, United States.
Austin ThompsonDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, United States.ORCID 0000-0003-3194-6184
Eric VittinghoffDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, United States.ORCID 0000-0001-8535-0920
Douglas C BauerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, United States.
Dennis M BlackDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, United States.
Mary L BouxseinCenter for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, and Department of Orthopedic Surgery, Harvard Medical School, Boston, MA 02215, United States.ORCID 0000-0002-7027-7414
Richard EastellDivision of Clinical Medicine, University of Sheffield, Sheffield, S57AU, United Kingdom.ORCID 0000-0002-0323-3366

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
American Society for Bone Mineral ResearchFDA HHS #1U01FD007772-01FDA HHS U01 FD007772NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

Emerging anti-osteoporosis therapies might present varied mechanisms of action and demand active control groups or sequential therapies due to ethical or mechanistic reasons. We previously showed a strong association between treatment-induced changes in total hip BMD (THBMD) at 12 and 24 mo and reduced fracture risk in placebo-controlled trials. We determined the surrogate threshold effect: the minimum THBMD difference (active-placebo) in a trial that would predict a significant reduction in fracture risk in trials. In this analysis, we investigated whether these associations are influenced by drug mechanism of action or trial design, including treatment with an anabolic followed by an antiresorptive compared to active control or placebo. We analyzed individual patient data from 22 randomized, placebo-controlled trials (17 antiresorptive, 3 PTH analogs, 1 odanacatib, and 1 romosozumab placebo-controlled phase), and 3 trials of an anabolic followed by an antiresorptive (1 PTH analog and 2 romosozumab). We established treatment-related differences in THBMD changes, calculated fracture risk reductions for radiologic vertebral and all clinical fractures, and estimated study-level associations between these features via meta-regression. We found consistent associations between treatment-related THBMD changes and fracture risk reduction across different drug mechanisms and trial designs. Among placebo-controlled trials, the r2 values for vertebral fractures were 0.73 (p = .0001) and 0.78 (p = .0002) at 24 mo, and 0.59 (p = .0003) and 0.70 (p = .0007) at 12 mo for all drugs vs only antiresorptive drugs, respectively. Similarly, for all clinical fractures, the r2 were 0.71 (p < .0001) and 0.65 (p = .0009) at 24 mo and 0.46 (p = .0007) and 0.51 (p = .002) at 12 mo for all drugs vs only antiresorptive drugs. For trials of an anabolic followed by an antiresorptive, the association between THBMD change and fracture risk reduction was similar to that for the placebo-controlled monotherapy trials. Our analyses indicate robust associations between treatment-induced THBMD changes and fracture risk reduction across various anti-osteoporosis therapies and trial designs, suggesting that treatment-induced changes in THBMD predict anti-fracture efficacy regardless of drug mechanism or trial design.

Indexed as

Bone DensityBone Density Conservation AgentsHipRandomized Controlled Trials as TopicResearch DesignAgedFemaleHumansMaleMiddle AgedRegression AnalysisBone Density Conservation Agentsbone mineral densityfracturemechanism of actionmeta-regressionosteoporosis treatmentrandomised control trialSABREsequential therapysurrogate

Identifiers

PMID40720735
PMCPMC12578277

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.