Evidence map›Paper›PMID 35529471›Full record

ArticleOpen medicine (Warsaw, Poland)2022

The effect evaluation of traditional vaginal surgery and transvaginal mesh surgery for severe pelvic organ prolapse: 5 years follow-up.

Ying-An Zhang, Wei Wang, Xiao-Li Li, Xian-Hui-Zhang, Jie Pan, Zhao-Ai Li

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ying-An ZhangDepartment of Gynecology and Obstetrics, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, China.
Wei WangDepartment of Laboratory Medicine, Shanxi Provincial People's Hospital, Taiyuan, China.
Xiao-Li LiDepartment of Gynecology and Obstetrics, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, China.
Xian-Hui-ZhangDepartment of Gynecology and Obstetrics, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, China.
Jie PanDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, United States of America.
Zhao-Ai LiDepartment of Gynecology and Obstetrics, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to compare the clinical effectiveness of traditional vaginal surgery and transvaginal mesh (TVM) surgery on severe pelvic organ prolapse (POP). We performed a retrospective chart review study of 258 severe POP patients who underwent surgery between November 2010 and September 2016. One hundred forty patients underwent traditional vaginal surgery and 118 TVM surgery. The Pelvic Organ Prolapse Quantitation (POP-Q) staging was used for objective evaluation. The Pelvic Floor Distress Inventory-20 (PFDI-20), Pelvic Floor Disease Life Impact Questionnaire Simplified Version-7 (PFIQ-7), and Pelvic Organ Prolapse/Incontinence Sexual Function Questionnaire (PISQ-12) were used for subjective evaluation. Their complications were also recorded. All the data were collected in the outpatient department through the follow-up at 3 months, 1, 3, and 5 years after the operation. Forty patients in the traditional vaginal surgery group and 25 in the TVM group were lost to follow-up. There was no difference in the POP-Q score between the groups (

Indexed as

pelvic organ prolapsetraditional vaginal surgerytransvaginal mesh surgery

Identifiers

PMID35529471
PMCPMC9034344

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.