ReviewOsteoporosis and sarcopenia2018
Individualized fracture risk assessment: State-of-the-art and room for improvement.
Review in Osteoporosis and sarcopenia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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
17 citing papers in PubMed, 35 citations in OpenAlex.
- An explainable machine learning approach to predict fragility fractures and the identification of important features.Scientific reports · 2026Article
- Vertebral-level discrimination of incidental vertebral fractures using volumetric BMD, texture features, and finite element-derived fracture load: an exploratory study.Skeletal radiology · 2026Article
- An explainable machine learning model for predicting osteoporotic fragility fractures: a retrospective study in South China.Frontiers in medicine · 2026Article
- Spine age estimation using deep learning in lateral spine radiographs and DXA VFA to predict incident fracture and mortality.npj aging · 2025Article
- Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters.Endocrinology and metabolism (Seoul, Korea) · 2025Article
- Association between the Sp1-binding-site polymorphism in the collagen type I alpha 1 (COLIA1) gene and bone phenotypes: the Dubbo Osteoporosis Epidemiology Study.Journal of bone and mineral metabolism · 2025Article
- A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study.Osteoporosis and sarcopenia · 2025Article
- The Importance of a Hierarchical Approach in Investigating the Connection Between Peripheral Artery Disease and Risk for Developing Low-Trauma Fractures: A Narrative Literature Review.Journal of clinical medicine · 2025Review
- Fracture risk prediction in postmenopausal women from GO Study: the comparison between FRAX, Garvan, and POL-RISK algorithms.Archives of osteoporosis · 2024Article
- Review
- Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality.Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy · 2023Article
- Optimal fracture prediction thresholds for therapy onset, established from FRAX and Garvan algorithms: a longitudinal observation of the population representative female cohort from the RAC-OST-POL Study.Archives of osteoporosis · 2023Article
- BONEcheck: A digital tool for personalized bone health assessment.Osteoporosis and sarcopenia · 2023Article
- Chronic airway disease as a major risk factor for fractures in osteopenic women: Nationwide cohort study.Frontiers in endocrinology · 2023Article
- Fragility Fractures in Postmenopausal Women: Development of 5-Year Prediction Models Using the FRISBEE Study.The Journal of clinical endocrinology and metabolism · 2022Article
- Management of Osteoporosis in Men: A Narrative Review.International journal of molecular sciences · 2021Review
- New Developments in Fracture Risk Assessment for Current Osteoporosis Reports.Current osteoporosis reports · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fragility fracture is a serious clinical event, because it is associated with increased risk of mortality and reduced quality of life. The risk of fracture is determined by multiple risk factors, and their effects may be interactional. Over the past 10 years, a number of predictive models (e.g., FRAX, Garvan Fracture Risk Calculator, and Qfracture) have been developed for individualized assessment of fracture risk. These models use different risk profiles to estimate the probability of fracture over 5- and 10-year period. The ability of these models to discriminate between those individuals who will and will not have a fracture (i.e., area under the receiver operating characteristic curve [AUC]) is generally acceptable-to-good (AUC, 0.6 to 0.8), and is highly variable between populations. The calibration of existing models is poor, particularly in Asian populations. There is a strong need for the development and validation of new prediction models based on Asian data for Asian populations. We propose approaches to improve the accuracy of existing predictive models by incorporating new markers such as genetic factors, bone turnover markers, trabecular bone score, and time-variant factors. New and more refined models for individualized fracture risk assessment will help identify those most likely to sustain a fracture, those most likely to benefit from treatment, and encouraging them to modify their risk profile to decrease risk.
Indexed as
Identifiers
What OpenQuestion holds
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.