Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Rationalizing the management of pregnancies of...
Journal article

Rationalizing the management of pregnancies of unknown location: Diagnostic accuracy of human chorionic gonadotropin ratio‐based decision tree compared with the risk prediction model M4

Abstract

INTRODUCTION: The objective was to compare the diagnostic accuracy of the decision tree analysis prediction model P1, which incorporates the human chorionic gonadotropin (hCG) ratio (hCG 48 hours/hCG 0 hour), and risk prediction model M4 in the management of women with pregnancy of unknown location (PUL). MATERIAL AND METHODS: A retrospective diagnostic accuracy study was performed on PUL data collected between August 2011 and September 2018. …

Authors

Nadim B; Leonardi M; Infante F; Lattouf I; Reid S; Condous G

Journal

Acta Obstetricia Et Gynecologica Scandinavica, Vol. 99, No. 3, pp. 381–390

Publisher

Wiley

Publication Date

March 2020

DOI

10.1111/aogs.13752

ISSN

0001-6349