Cited by 4Pelvic floor disorders treatmentsUrinary Bladder and Prostate ResearchSexual function and dysfunction studies

Effect of pelvic floor muscle training on improving prolapse-related symptoms after surgery

Liang, Yi, Li, Xiaodan, Wang, Jianliu, Liu, Yuanyuan, Yang Yang, Dong, Meiling·2019·The Journal for Nurse Practitioners

Integrity signals

Registry

Crossref · 10.1016/j.nurpra.2019.06.002

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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  • Two trials were excluded because they explored pelvic floor exercises but followed participants for fewer than three months.

    “Of these, we excluded two trials as they explored pelvic floor exercises but followed participants for fewer than three months (Dawson 2018; Liang 2019).”

    From Perioperative interventions in pelvic organ prolapse surgery (2025) · cites this paper as Liang 2019

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1 of the 25 references couldn’t be matched to a known paper.

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Authors
Liang, Y., Li, X., Wang, J., Liu, Y., Yang, Y., & Dong, M.
Venue
The Journal for Nurse Practitioners
Publisher
Elsevier BV
Published
2019-09
Volume
15
Issue
8
Pages
600-605
ISSN
1555-4155 (ISSN-L)
OpenAlex
W2961955367
Cited by
3
References
25
Citations by year
2025: 1 · 2024: 1 · 2022: 1
FWCI
0.19
Type
journal article
Language
en
Open access
closed
Locations
The Journal for Nurse Practitioners (publishedVersion)
Topics
  • Health Sciences › Medicine › Rheumatology › Pelvic floor disorders treatments
  • Health Sciences › Medicine › Urology › Urinary Bladder and Prostate Research
  • Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
Keywords
pelvic floor muscle training, pelvic organ prolapse, postoperative symptoms, urinary incontinence, lifestyle advice, pelvic floor rehabilitation, Pelvic Floor Distress Inventory

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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