Lefere 2025 pFIB-c logistic probability of significant (>=F2) liver fibrosis in
Lefere 2025 pFIB-c logistic probability of significant (>=F2) liver fibrosis in pediatric MASLD from sex (boy/girl), hypertension, ALT (U/L), caller-assigned CDC/WHO weight Z-score, HOMA-IR, and caller-assigned Black ethnicity. Table 2 coefficients. Derivation rule-out cutoff 0.226. magent does not assign race or ethnicity and does not compute LMS Z-scores. Not a biopsy, not pFIB-6, and not a diagnosis.
Asked 1.4x its listed price for its own exampleour last check, 2026-09-28
1 of 1checks answered this week
270 msmedian answer time
$0.005listed price per call
$0.007price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://api.magentlab.com/api/calc/pfib_c
| Category | Everything else |
|---|---|
| Provider host | api.magentlab.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-28 | valid payment request | 402 | $0.007 | 270 ms |
Example input (from the provider)
{
"body": {
"items": [
{
"alt_u_l": 30,
"black_ethnicity": false,
"homa_ir": 2,
"hypertension": false,
"sex": "girl",
"weight_z_score": 1
},
{
"alt_u_l": 30,
"black_ethnicity": false,
"homa_ir": 2,
"hypertension": false,
"sex": "girl",
"weight_z_score": 1
}
]
},
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"items": {
"items": {
"properties": {
"alt_u_l": {
"description": "Alanine aminotransferase in U/L (5-500). Lefere 2025 Table 2: +0.019 per U/L. magent does not convert other ALT units.",
"type": "number"
},
"black_ethnicity": {
"description": "Caller-assigned Black ethnicity as used in Lefere 2025 (true or false). Table 2: true adds -2.453. magent does not assign race or ethnicity.",
"type": "boolean"
},
"homa_ir": {
"description": "Caller-assigned HOMA-IR (0-50). Lefere 2025 Table 2: +0.079 per unit. magent does not compute HOMA-IR from glucose and insulin.",
"type": "number"
},
"hypertension": {
"description": "Hypertension as assigned by the caller (true or false). Lefere 2025 Table 2: true adds 1.636.",
"type": "boolean"
},
"sex": {
"description": "Sex as Lefere 2025 Table 2 (boy or girl). boy adds 1.194 (sex_boy=1); girl adds 0. Paper terms.",
"enum": [
"boy",
"girl"
],
"type": "string"
},
"weight_z_score": {
"description": "Caller-assigned CDC or WHO weight-for-age Z-score (-5 to 8). Lefere 2025 Table 2: +0.633 per unit. magent does not compute LMS tables from height, weight, age, or sex.",
"type": "number"
}
},
"required": [
"sex",
"hypertension",
"alt_u_l",
"weight_z_score",
"homa_ir",
"black_ethnicity"
],
"type": "object"
},
"maxItems": 25,
"minItems": 1,
"type": "array"
}
},
"required": [
"items"
],
"type": "object"
},
"headers": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"method": {
"const": "POST",
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}