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Cadarette 2000 ORAI Osteoporosis Risk Assessment
x402
Cadarette 2000 ORAI Osteoporosis Risk Assessment is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Computes the Cadarette 2000 Osteoporosis Risk Assessment Instrument (ORAI) score from age, weight, and current estrogen use to identify women who should be referred for bone densitometry.
Price / call$0.005
Success—
StatusUnknown
How this service works
Cadarette 2000 Osteoporosis Risk Assessment Instrument (ORAI). Additive Table 4 score: age ≥75 → 15, 65–74 → 9, 55–64 → 5, 45–54 → 0; weight <60 kg → 9, 60–69 kg → 3, ≥70 kg → 0; current estrogen no → 2, yes → 0. Max 26. Score ≥9 would be selected for bone densitometry. Age 45–120; weight_kg or weight_lb. Not a medical device, not OSTA, not FRAX, not a DXA order.
Output
Returns the ORAI additive score (0–26) computed from the three Cadarette 2000 Table 4 inputs: age band (0/5/9/15), weight band (0/3/9), and estrogen status (0/2). A score ≥9 indicates the patient should be selected for bone densitometry.
Example use cases
Postmenopausal screening referral decision
“My patient is a 72-year-old woman, 62 kg, not on estrogen therapy — can you calculate her ORAI score and tell me if she hits the cutoff for a bone density scan?”
Low-weight elderly woman triage
“I'm reviewing a 78-year-old patient who weighs 54 kg and doesn't use estrogen. What is her Cadarette ORAI score, and does it indicate she should go for densitometry?”
Estrogen-user risk comparison
“Can you run the ORAI calculation for a 66-year-old woman weighing 130 pounds who is currently on estrogen — I want to see her score versus the ≥9 referral threshold.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/oraiWhen to prefer
Use this endpoint when you need a fast, validated implementation of the specific Cadarette 2000 ORAI instrument (not OSTA, not FRAX) to screen women aged 45+ for osteoporosis risk and decide on bone densitometry referral. Prefer it over manual scoring tables when integrating into an automated clinical workflow or EHR decision-support agent.
Side effects
- Age outside 45–120 range returns a validation error
- Neither weight_kg nor weight_lb provided returns an error
- Both weight inputs simultaneously supplied may cause ambiguity
- Boolean parsing failure if current_estrogen is not a proper boolean
- Weight outside 1–500 kg (or 2–1100 lb) range rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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