SCR-LIP-000190 · Claim · machine-readable JSON →

In a prospective cohort of 138 lipedema and 111 lymphedema patients, a CART algorithm using three clinical variables—bruising, body disproportion, and non-swollen feet (cuffing sign)—classified patients with 100% accuracy; lipedema was characterized by symmetry (100%), spared feet (93.5%), pain (92%), bruising (90.6%), telangiectasias (89.9%), and family history (84.7%), and staged 1-4 (stage I 37.7%, II 34.8%, III 22.5%, IV 5.1%).

Claim at a glance
Type
clinical association
Knowledge state
Emerging
Evidence certainty
moderate (GRADE)
Evidence
1 source(s)
Dates
2026-05-31 → 2026-05-31

Structured evidence, machine-compiled — not a verdict.

Auto-compiled by the Layer 1 surveillance loop; not yet human-reviewed. anthropic/claude-opus-4.8 · 2026-05-31

Evidence over time

2025Building evidence for diagnosis of lipedema: using a classification and regression tree (CART) algorithm to differentiate lipedema from lymphedema patients — FORNER-CORDERO et al. (2025) · consistent

Evidence (1)

Context (PECO)

Populationlipedema and lymphedema patients (n=249)
Conditionlipedema
ExposureCART algorithm with three clinical variables
Comparatorlymphedema patients
Outcomediagnostic classification accuracy
Scopeauto-ingested from Layer 1 surveillance

Answers these questions

Gaps & caveats

Auto-ingested single source; not yet human-reviewed.

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