Evidence map›Paper›PMID 41020995›Full record

Observational studyOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2025

Personalizing denosumab therapy in postmenopausal Indian women with osteoporosis: predictive role of bone turnover markers and body mass index in determining dosing interval.

Vivek Jha, Sanjay K Bhadada, Rimesh Pal, Chirag Kharbanda, Sudhaker D Rao

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 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. Body weight predicts denosumab pharmacodynamic duration: a real-world longitudinal cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
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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

5 authors.

Vivek JhaDepartment of Endocrinology, Postgraduate Institute of Medical Education and Research (PGIMER), Sector 12, Chandigarh, India, 160012.
Sanjay K BhadadaDepartment of Endocrinology, Postgraduate Institute of Medical Education and Research (PGIMER), Sector 12, Chandigarh, India, 160012. bhadadask@rediffmail.com.ORCID http://orcid.org/0000-0002-0410-8778
Rimesh PalDepartment of Endocrinology, Postgraduate Institute of Medical Education and Research (PGIMER), Sector 12, Chandigarh, India, 160012.
Chirag KharbandaDepartment of Endocrinology, Postgraduate Institute of Medical Education and Research (PGIMER), Sector 12, Chandigarh, India, 160012.
Sudhaker D RaoBone and Mineral Research Laboratory, Henry Ford Health System, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This prospective study evaluated whether bone turnover markers (BTMs) and body mass index (BMI) can guide individualized denosumab dosing in postmenopausal Indian women with osteoporosis. Lower baseline β-CTX and BMI were independently associated with safe deferral of denosumab beyond 6 months, without increased fracture risk. These findings support a personalized, phenotype-based approach to denosumab therapy in low-turnover populations. PURPOSE: To evaluate whether baseline bone turnover markers (BTMs) and body mass index (BMI) can predict the safety and feasibility of extending the dosing interval of denosumab beyond six months in postmenopausal Indian women with osteoporosis.

methodsIn this prospective observational study, 56 postmenopausal women with DXA-confirmed osteoporosis were initiated on denosumab (60 mg subcutaneously).None of the participants had received prior anti-resorptive therapies. Several participants were on vitamin D supplementation, consistent with their high baseline serum 25-hydroxyvitamin D levels. Serum ß-CTX levels were measured at 6 months, guiding the timing of subsequent injections. Participants were classified into two groups: standard (dose at 6 months) and delayed (dose deferred beyond 6 months if ß-CTX <300 pg/mL). Baseline BTMs, BMI, and fracture outcomes were analysed. Multivariate logistic regression was used to identify predictors of delayed dosing.

resultsTwenty-eight women received delayed injections (median interval: 9.5 months). Compared to the standard group, the delayed group had significantly lower baseline ß-CTX levels (497 vs. 794 pg/mL; p < 0.001) and lower BMI (23.29 ± 2.77 vs. 25.59 ± 3.03 kg/m²; p = 0.005). Multivariate analysis showed both lower baseline ß-CTX (OR: 0.99; 95% CI: 0.98-1.00; p = 0.027) and lower BMI (OR: 0.60; 95% CI: 0.40-0.89; p = 0.012) independently predicted delayed denosumab administration. No new vertebral fractures were observed in either group during follow-up.

conclusionsLower baseline bone turnover and lower BMI may help identify postmenopausal Indian women in whom denosumab dosing can be safely deferred beyond six months. These findings are preliminary and do not establish long-term safety or efficacy; further studies with extended follow-up are needed before adopting extended dosing intervals in clinical practice.

Indexed as

Body Mass IndexBone Density Conservation AgentsBone RemodelingDenosumabOsteoporosis, PostmenopausalAgedBiomarkersBone DensityCollagen Type IDrug Administration ScheduleFemaleHumansMiddle AgedOsteoporotic FracturesPeptidesPrecision MedicineBiomarkersBone Density Conservation AgentsCollagen Type Icollagen type I trimeric cross-linked peptideDenosumabPeptidesBody mass indexBone turnover markersDenosumabIndiaOsteoporosisPostmenopausal womenβ-CTX

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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.