Evaluation of the efficacy of the Chinese classification for endogenous cesarean scar pregnancy

• This study pioneers Chinese CSP classification guidance in clinical practice. • Chinese CSP classification enhances pregnancy, lowers CSP recurrence in practice. • The Chinese CSP classification suggests VAS for type 1 CSP, HCS for type 2 CSP in endogenous cases.

Authors

Institutions

Publication Details

Journal
Asian Journal of Surgery
Published
2025-12-01
DOI
https://doi.org/10.1016/j.asjsur.2025.10.116
Primary Topic
Ectopic Pregnancy Diagnosis and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the efficacy of the Chinese classification for endogenous cesarean scar pregnancy

Feng Qi, Ning Wang, Jianwei Zhou, Xiuxiu Jiang
Asian Journal of Surgery
Ectopic Pregnancy Diagnosis and Management
article

Evaluation of the efficacy of the Chinese classification for endogenous cesarean scar pregnancy

Feng Qi, Ning Wang, Jianwei Zhou, Xiuxiu Jiang
article en

Abstract

• This study pioneers Chinese CSP classification guidance in clinical practice. • Chinese CSP classification enhances pregnancy, lowers CSP recurrence in practice. • The Chinese CSP classification suggests VAS for type 1 CSP, HCS for type 2 CSP in endogenous cases.

Asian Journal of Surgery
Wenzhou Medical University (CN), Women's Hospital, School of Medicine, Zhejiang University (CN), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang Taizhou Hospital (CN)
Openalex Percentile: Top 49%
Ectopic Pregnancy Diagnosis and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.