Overview
This series explains why a T-score classifies site-specific bone density but cannot forecast one person’s fracture risk. It moves from DXA and reference populations to clinical factors, FRAX, screening and treatment pathways, then model omissions, equity and evidence gaps. The result is a more honest reading of risk that keeps decisions tied to population, time horizon and evidence.
Learning outcomes
- A T-score classifies site-specific BMD; it is not an individual fracture probability.
- Age, falls, fracture history, clinical conditions and medications can change fracture risk beyond BMD.
- FRAX and similar tools add context, but their estimates depend on selected inputs, population and time horizon.
- Screening and treatment evidence concerns defined populations and coordinated strategies, not the T-score alone.
Keywords
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PlansFAQ
What does a T-score actually tell you?
It describes how site-specific BMD compares with a reference population; it does not give a personal fracture probability.
Why can someone fracture with a T-score above −2.5?
They can fracture because age, bone quality, falls and clinical factors also affect risk; most fragility fractures occur above that densitometric threshold.
How does FRAX differ from a T-score?
FRAX estimates 10-year hip or major osteoporotic fracture probability from selected clinical factors, with optional femoral-neck BMD; a T-score classifies density.
Does osteoporosis screening prevent fractures?
A coordinated screening program can reduce fractures in studied older European women, but evidence does not show that DXA or a T-score alone causes the benefit or establish it for men.