Logistic Regression Models Based on Plasma Levels of Phosphatidylcholines, Amino Acids, and TGFBI Differentiate Patients with Peritoneal Endometriosis from Control Patients

Katja Vouk; Maja Pušić; Tamara Knific; Helena Ban Frangež; René Wenzl; Cornelia Prehn; Jerzy Adamski; Tea Rižner

doi:10.2139/ssrn.6872759

Logistic Regression Models Based on Plasma Levels of Phosphatidylcholines, Amino Acids, and TGFBI Differentiate Patients with Peritoneal Endometriosis from Control Patients

Katja Vouk, Maja Pušić, Tamara Knific, Helena Ban Frangež, René Wenzl, Cornelia Prehn, Jerzy Adamski, Tea Rižner

2026 · doi:10.2139/ssrn.6872759 · W7163557447

preprint OA: green CC0

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⚙ AI-generated summary by claude@2026-07, 2026-07-28 ⓘ

This study utilized logistic regression to differentiate patients with peritoneal endometriosis from controls based on plasma levels of phosphatidylcholines, amino acids, and TGFBI.

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Condition tags

endometriosis

Citation neighborhood (sparse)

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Cited by (1)

Metabolomic signatures support the diagnostics of peritoneal endometriosis using generalised linear models. 2026

Cited by (1)

Metabolomic signatures support the diagnostics of peritoneal endometriosis using generalised linear models. 2026

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openalex: last seen: 2026-06-10T17:14:06.276822+00:00

License: CC0 · commercial use OK