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ACR/EULAR 2016 Primary Sjögren's Syndrome Classification Score (Shiboski Table 3)
x402
ACR/EULAR 2016 Primary Sjögren's Syndrome Classification Score (Shiboski Table 3) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Computes the ACR/EULAR 2016 Sjögren's syndrome classification score from five weighted clinical items and returns whether the patient meets the ≥4 threshold for classification.
Price / call$0.005
Success—
StatusUnknown
How this service works
ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3). Required: inclusion_met true (AECG dryness or ESSDAI domain) and exclusion_present false (no radiation, HCV, AIDS, sarcoid, amyloid, GVHD, IgG4-RD). Score: labial biopsy FS ≥1 3, anti-SSA/Ro 3, ocular staining 1, Schirmer 1, UWS 1; max 9; classified iff ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only. magent does not stain eyes, measure saliva, or read biopsies.
Output
Returns the numeric total score (0–9) computed from the five weighted items (labial biopsy FS ≥1 = 3 pts, anti-SSA/Ro = 3 pts, ocular staining = 1 pt, Schirmer's = 1 pt, UWS = 1 pt), plus a boolean classification result indicating whether the score is ≥4 (meeting ACR/EULAR 2016 classification threshold). The endpoint does not return a diagnosis; it returns a classification score only.
Example use cases
Rheumatology clinic Sjögren workup
“I have a patient with confirmed AECG dryness (inclusion met), no exclusionary conditions, a labial biopsy focus score of 1, anti-SSA/Ro positive, ocular staining score of 5 in one eye, Schirmer's borderline at 6 mm so negative, and UWS negative — can you run the ACR/EULAR 2016 Sjogren score and tell me if they classify?”
Research cohort eligibility screening
“For our Sjögren's research cohort I need to screen this participant: inclusion criterion met via ESSDAI, no exclusions present, biopsy focus score ≥1, anti-SSA/Ro negative, no abnormal ocular staining, Schirmer's positive, UWS positive — what's the 2016 ACR/EULAR score and do they hit the threshold of 4?”
Telemedicine second-opinion scoring
“Can you apply the 2016 Shiboski ACR/EULAR Sjögren classification criteria to this remote patient: inclusion met, exclusions absent, labial biopsy positive (FS ≥1), anti-SSA/Ro positive, ocular staining negative, Schirmer's negative, UWS negative — give me the score out of 9 and whether they're classified.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/acr_eular_sjogrenWhen to prefer
Use this endpoint when you need to apply the specific ACR/EULAR 2016 (Shiboski Table 3) Sjögren's classification algorithm — not the older 2002 AECG criteria or the 2012 ACR-only criteria. All five clinical test results (biopsy, serology, ocular staining, Schirmer's, UWS) must already be determined by the caller from laboratory and clinical sources; this endpoint only performs the scoring arithmetic and threshold check. Prefer it over manual calculation to avoid arithmetic errors and to ensure the correct item weights (3/3/1/1/1) are applied consistently.
Side effects
- inclusion_met=false: invalid input, request rejected or unscored — caller must ensure at least one AECG dryness criterion or positive ESSDAI domain
- exclusion_present=true: invalid input, request rejected or unscored — caller must confirm absence of all listed exclusions before submitting
- Missing required query parameters: 400-level error if any of the seven required fields are absent
- Boolean type mismatch: passing strings instead of booleans may cause schema validation errors
- Score of 0–3: patient does not classify; this is not an error but agents must not interpret it as a diagnosis of exclusion
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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