ReviewIndian journal of endocrinology and metabolism
Bone turnover markers: Emerging tool in the management of osteoporosis.
Review in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
167 citing papers in PubMed, 4 syntheses or guidelines pooled it, 326 citations in OpenAlex.
- Comparing the Effects of Dairy and Soybean on Bone Health in Women: A Food- and Component-Level Network Meta-Analysis.Nutrients · 2025Pooled it
- High salt intake and bone health in postmenopausal women: exposing the lack of studies - a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Effects of blood flow restriction training on bone metabolism: a systematic review and meta-analysis.Frontiers in physiology · 2023Pooled it
- Osteoblast-osteoclast co-cultures: A systematic review and map of available literature.PloS one · 2021Pooled it
- Can supplements with prebiotic fibres positively influence bone health in type 2 diabetes? Insights from a randomised controlled crossover trial.Archives of osteoporosis · 2025Trial
- Quercetins efficacy on bone and inflammatory markers, body composition, and physical function in postmenopausal women.Journal of bone and mineral metabolism · 2025Trial
- Effects of secukinumab on bone mineral density and bone turnover biomarkers in patients with ankylosing spondylitis: 2-year data from a phase 3 study, MEASURE 1.BMC musculoskeletal disorders · 2021Trial
- Trial
- Effect of vitamin D fortified foods on bone markers and muscle strength in women of Pakistani and Danish origin living in Denmark: a randomised controlled trial.Nutrition journal · 2019Trial
- Kelulut Honey Modulates Skeletal Health and Bone-Related Molecular Markers in Rats Fed a High-Carbohydrate and High-Fat Diet.Life (Basel, Switzerland) · 2026Article
- Role of the Antioxidant Lycopene in Bone Health: Emphasis on the RANKL/RANK/OPG Signaling Pathway.Food science & nutrition · 2026Review
- Effects of Single, Maximal Intensity Exercise Unit on Selected Markers of Bone and Connective Tissue Turnover in Young Men.Journal of clinical medicine · 2026Article
- Review
- Investigation of the cortical bone metabolome of C57BL/6J mice with adenine-induced kidney disease.JBMR plus · 2026Article
- Advances in Molecularly Imprinted Polymers for Bone Biomarker Detection and Therapeutic Applications.ChemistryOpen · 2025Review
- Peripheral quantitative computed tomography and blood biomarkers in children with spinal cord disorders.Spinal cord series and cases · 2025Article
- Perilla Seed Meal Extract Enriched with Rosmarinic Acid and Luteolin: Natural Active Pharmaceutical Ingredients (NAPIs) for Osteoprotective Effects.Antioxidants (Basel, Switzerland) · 2025Article
- Associations of AMH in Midreproductive Years with Bone Mineral Density and Turnover Markers in Midlife.The Journal of clinical endocrinology and metabolism · 2025Article
- Electrospun Poly(L-lactide-co-ε-caprolactone) Nanofibers with Hydroxyapatite Nanoparticles Mimic Cellular Interplay in Bone Regeneration.International journal of molecular sciences · 2025Article
- Urinary pentosidine as a potential biomarker of impaired bone health: a systematic review and meta-analysis.Journal of diabetes and metabolic disorders · 2025Review
107 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bone is a dynamic tissue which undergoes constant remodeling throughout the life span. Bone turnover is balanced with coupling of bone formation and resorption at various rates leading to continuous remodeling of bone. A study of bone turnover markers (BTMs) provides an insight of the dynamics of bone turnover in many metabolic bone disorders. An increase in bone turnover seen with aging and pathological states such as osteoporosis leads to deterioration of bone microarchitecture and thus contributes to an increase in the risk of fracture independent of low bone mineral density (BMD). These microarchitectural alterations affecting the bone quality can be assessed by BTMs and thus may serve as a complementary tool to BMD in the assessment of fracture risk. A systematic search of literature regarding BTMs was carried out using the PubMed database for the purpose of this review. Various reliable, rapid, and cost-effective automated assays of BTMs with good sensitivity are available for the management of osteoporosis. However, BTMs are subjected to various preanalytical and analytical variations necessitating strict sample collection and assays methods along with utilizing ethnicity-based reference standards for different populations. Estimation of fracture risk and monitoring the adherence and response to therapy, which is a challenge in a chronic, asymptomatic disease such as osteoporosis, are the most important applications of measuring BTMs. This review describes the physiology of bone remodeling, various conventional and novel BTMs, and BTM assays and their role in the assessment of fracture risk and monitoring response to treatment with antiresorptive or anabolic agents.
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Registered trials
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.