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Griffin 2000 Cambridge Diabetes Risk Score (magent)
x402
Griffin 2000 Cambridge Diabetes Risk Score (magent) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Computes the Griffin 2000 Cambridge logistic risk score for undetected type 2 diabetes, returning a probability between 0 and 1.
Price / call$0.005
Success—
StatusUnknown
How this service works
Griffin 2000 Cambridge logistic risk of undetected type 2 diabetes. p = 1/(1+e^(-λ)); λ = -6.322 - 0.879 if female + 1.222 antihypertensive + 2.191 steroids + 0.063×age + BMI band (<25 0; 25 to <27.5 0.699; 27.5 to <30 1.97; ≥30 2.518) + family (parent or sibling 0.728; parent and sibling 0.753) + smoking (former -0.218; current 0.855). Age 40-64. Probability 0-1. Not FINDRISC, not ADA, not a glucose assay, not a diagnosis.
Output
Returns a probability value between 0 and 1 representing the estimated likelihood of undetected type 2 diabetes according to the Griffin 2000 Cambridge logistic model, along with the underlying linear predictor (λ). This is a screening risk estimate, not a clinical diagnosis.
Example use cases
Primary care pre-screening before lab referral
“I have a 62-year-old female patient, BMI 28.4, on antihypertensives, no steroids, her father had diabetes but no siblings, she's a former smoker — can you calculate her undetected type 2 diabetes risk using the Cambridge model?”
Population health risk stratification
“Score the diabetes risk for a 47-year-old male with a BMI of 26.0, not on any antihypertensives or steroids, both a parent and sibling with diabetes, and he currently smokes.”
Wellness app lifestyle risk assessment
“A 51-year-old woman came to our wellness platform — BMI 24.3, no antihypertensives, no steroids, no family history of diabetes, never smoked. What does the Griffin 2000 Cambridge model say her probability of undetected type 2 diabetes is?”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/cambridge_diabetesWhen to prefer
Choose this endpoint when you need to apply the specific Griffin 2000 Cambridge logistic regression formula for estimating undetected type 2 diabetes risk in adults aged 40–64, using non-invasive clinical covariates only. Prefer this over FINDRISC (Finnish tool, different coefficients and population), ADA risk test (different predictors), or any glucose-based assay (this is a pre-screening tool, not a diagnostic). Use when you have BMI, sex, age, medication status, family history, and smoking status and want a validated, published risk probability without ordering lab work.
Side effects
- Age outside 40–64 range is rejected (the model was derived on that cohort only)
- BMI outside the accepted range (10–80) may be clamped or rejected
- Missing required query parameters (age, sex, bmi_kg_m2, antihypertensive, steroids, family_history, smoking) will result in a validation error
- Invalid enum values for sex, smoking, or family_history will cause a 4xx error
- Payment not provided or insufficient (x402 payment required)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
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