Analysis of risk factors and prediction model construction for poor healing of perineal wounds after vaginal delivery: A retrospective case-control study

The risk prediction model for poor perineal wound healing after vaginal delivery can reasonably predict the risk of poor incision healing, providing a basis for obstetric medical staff to take preventive management measures for high-risk groups before the discharge of parturient women, thereby reducing the occurrence of poor perineal wound healing.

Authors

Institutions

Publication Details

Journal
International Journal of Nursing Studies Advances
Published
2025-04-08
DOI
https://doi.org/10.1016/j.ijnsa.2025.100326
Citations
3
Primary Topic
Pelvic floor disorders treatments
Type
article
Field-Weighted Citation Impact
5.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of risk factors and prediction model construction for poor healing of perineal wounds after vaginal delivery: A retrospective case-control study

Chunyu Cai, Xiaoyan Chen, Shanshan Shan, Hui Jiang et al.
3 citations
International Journal of Nursing Studies Advances
Pelvic floor disorders treatments
5.00
article

Analysis of risk factors and prediction model construction for poor healing of perineal wounds after vaginal delivery: A retrospective case-control study

Chunyu Cai, Xiaoyan Chen, Shanshan Shan, Hui Jiang, Ying Liu, Yao Xiao
article en
3 citations

Abstract

The risk prediction model for poor perineal wound healing after vaginal delivery can reasonably predict the risk of poor incision healing, providing a basis for obstetric medical staff to take preventive management measures for high-risk groups before the discharge of parturient women, thereby reducing the occurrence of poor perineal wound healing.

International Journal of Nursing Studies AdvancesVol. 8
Shanghai First Maternity and Infant Hospital (CN)
No poverty
Openalex Percentile: Top 6%
Pelvic floor disorders treatments
5.00
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.

Analysis of risk factors and prediction model construction for poor healing of perineal wounds after vaginal delivery: A retrospective case-control study — Chunyu Cai, Xiaoyan Chen, et al. · International Journal of Nursing Studies Advances (2025) | TGRS Research Map | TGRS