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Frontiers in Global Women's Health ·

Volume 7 - 2026 | https://doi.org/10.3389/fgwh.2026.1965840

Risk factor analysis and predictive model for the alleviation of postpartum stress urinary incontinence: a retrospective cohort study

  • Lingdan Guo1
  • Jueying Li1
  • Jia Lu1
  • Sijiao Chen1
  • Mengying Li1
  • Jingzhou Yang1
  • Li Xiao2
  • Jian Shen2
  • Jianxin Liu1*corresponding author
  1. 1Department of Ultrasound, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  2. 2Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Abstract

Keywords

Incorrect funding

The funder [Research and Development of a Multimodal Large Model for Multi-Organ Ultrasound Diagnosis], [insert Grant Number] to [26YJ11] was erroneously omitted.

The original version of this article has been updated.

In the published article, the Funding statement was incomplete.

The original Funding statement was:

“The author(s) declared that financial support was received for this work and/or its publication. Chinese Association of Plastic and Aesthetics, Grant Number: 202202036.”

The corrected Funding statement is:

“The author(s) declared that financial support was received for this work and/or its publication. Chinese Association of Plastic and Aesthetics, Grant Number: 202202036; Scientific Research Project “Research and Development of a Multimodal Large Model for Multi-Organ Ultrasound Diagnosis”, Grant Number: 26YJ11 (to Jianxin Liu).”

Publisher's note

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Footnotes

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

Citation

Guo, L., et al. (2026). Risk factor analysis and predictive model for the alleviation of postpartum stress urinary incontinence: a retrospective cohort study. Frontiers in Global Women's Health, Volume 7. https://doi.org/
Received
Accepted
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Volume
7 - 2026

Copyright

© 2026 Guo, Li, Lu, Chen, Li, Yang, Xiao, Shen and Liu.

License: https://creativecommons.org/licenses/by/4.0/

*Correspondence: Jianxin Liu

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