Evidence map›Paper›PMID 35055556›Full record

ArticleInternational journal of environmental research and public health2022

Construction of Progress Prediction Model of Urinary Incontinence in Elderly Women: Protocol for a Multi-Center, Prospective Cohort Study.

Di Zhang, Lei Gao, Yuanyuan Jia, Shiyan Wang, Haibo Wang, Xiuli Sun, Jianliu Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Di ZhangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.ORCID 0000-0002-0134-8143
Lei GaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.
Yuanyuan JiaDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.
Shiyan WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.
Haibo WangClinical Research Institute, Peking University, Beijing 100191, China.
Xiuli SunDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.
Jianliu WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, No. 11, Xi-Zhi-Men South Street, Xi Cheng District, Beijing 100044, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary incontinence (UI) is a common health problem and seriously affects quality of life. Many women lack understanding of UI or are too ashamed to seek medical advice early, leading to a low treatment rate. The aim of this study is to establish an effective UI progress prediction model for elderly women with UI for earlier detection and better treatment.

methodsThis study is conducted as a prospective, multi-center, cohort study, and recruits 800 women aged ≥60 with mild or moderate UI in China. Participants are divided into three groups: stress urinary incontinence group (SUI), urgency urinary incontinence group (UUI), and mixed urinary incontinence group (MUI). This study will investigate the general conditions of patients, after complete relevant pelvic floor function assessment, as well as after follow up at 6 months, 12 months, and 18 months by telephone. The primary endpoint is UI disease progress. Single factor and multi-factor Cox regression model analyses are undertaken to evaluate the associated risk factors affecting the progress of UI to establish a progress prediction model for elderly women. DISCUSSION: This study will provide more predictive information for elderly women with UI, and new clinical references for the intervention and the treatment of UI for medical staff.

Indexed as

Urinary IncontinenceUrinary Incontinence, StressAgedCohort StudiesFemaleHumansMulticenter Studies as TopicProspective StudiesQuality of LifeUrinary Incontinence, Urgedisease progresselderly women with UIprediction model

Identifiers

PMID35055556
PMCPMC8775636
OpenAlexW4206218249

What OpenQuestion holds

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Read underepoch 390

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.