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Salivary Gland Cancer PORT Survival Cox Predictor (Jacobs 2022)
x402
Salivary Gland Cancer PORT Survival Cox Predictor (Jacobs 2022) 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 Jacobs 2022 Table 3 Cox linear predictor (ln HR) for overall survival after resected major salivary gland cancer, comparing postoperative radiotherapy (PORT) versus observation.
Price / call$0.005
Success—
StatusUnknown
How this service works
Jacobs 2022 Table 3 Cox linear predictor for overall survival after resected major salivary gland cancer with versus without postoperative radiotherapy. Age per 10 years by PORT, male, Charlson-Deyo per point, gland, PORT by T stage, nodal-positivity ratio band, grade step, and positive margin as ln(HR). Not a 2-/5-/10-year OS percent (no printed S0). Not a radiation order. magent does not compute Charlson-Deyo or count nodes.
Output
Returns the Jacobs 2022 Table 3 Cox linear predictor expressed as a natural log hazard ratio (ln HR), reflecting cumulative overall survival risk after resected major salivary gland cancer. The value incorporates age-by-PORT interaction, sex, Charlson-Deyo comorbidity, gland site, T-stage-by-PORT interaction, nodal positivity ratio band, grade step, and margin status. This is not a percentage survival estimate (no S0 is applied) and is not a radiation treatment recommendation.
Example use cases
PORT benefit estimation for high-risk parotid cancer
“I have a 72-year-old female with resected parotid cancer — Charlson-Deyo 1, pT4 stage, high grade, negative margins, nodal positivity ratio 0.4, and she received PORT. Run the Jacobs 2022 Cox predictor and tell me her ln(HR) for overall survival.”
Comparing PORT vs no-PORT survival risk in submandibular cancer
“Can you run the Jacobs 2022 salivary gland survival model twice for a 55-year-old male, Charlson-Deyo 0, submandibular gland, pT2, intermediate grade, negative margins, nodal positivity ratio 0.0 — once with PORT true and once with PORT false so I can compare the ln(HR) scores?”
Risk scoring for low-stage sublingual cancer without radiation
“Score a 48-year-old female patient with sublingual gland cancer, Charlson-Deyo score 0, pT1, low grade, negative margins, zero nodal positivity, and no postoperative radiation using the Jacobs 2022 Table 3 Cox predictor.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/sg_portWhen to prefer
Choose this endpoint when you need to apply the Jacobs 2022 (Table 3) Cox proportional hazards model specifically validated for resected major salivary gland cancer (parotid, submandibular, sublingual) with or without PORT. It is the right choice when you have all required clinical inputs pre-assigned (the endpoint does not compute Charlson-Deyo, assign stage, grade, or count nodes) and need a ln(HR) survival risk score for comparative or prognostic purposes. Do not use it if you need a concrete percentage survival estimate (requires external S0), a radiation treatment decision, or a model for minor salivary glands or unresected disease.
Side effects
- Missing required query parameter (age, sex, charlson_deyo, gland, t_stage, grade, margin, nodal_positivity_ratio, port) returns 400 or validation error
- Age outside integer range 18–120 returns validation error
- Invalid enum value for sex, gland, grade, margin, or t_stage returns 400
- Payment not provided or insufficient USDC balance triggers 402 Payment Required
- nodal_positivity_ratio value outside expected band mapping may return an error or default behavior
- Network timeout or server error returns 5xx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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