Evidence map›Paper›PMID 38516650›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2024

Pelvic Floor Muscle Training Using the Perifit Device for the Treatment of Urinary Incontinence: A Pragmatic Trial Using Real-World Data.

Erica T Perrier, Louise Aumont

Open access · goldAbstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The Effect of BeBoJournal of clinical medicine · 2025
    Article
  3. The Experience of People With Urinary Incontinence Using Invasive Devices in Pelvic Floor Muscle Training: A Qualitative Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025
    Article
  4. 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

2 authors at 1 institution in 1 country.

Erica T PerrierDepartment of Research & Development, X6 Innovations, Paris, France.
Louise AumontDepartment of Research & Development, X6 Innovations, Paris, France.
TBC Innovations (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a need for home-based alternatives for women to self-manage urinary incontinence (UI). Using a real-world data approach, the aim of this analysis was to evaluate whether training with the Perifit device was effective in reducing UI symptoms. Materials and Methods: A total of 6060 women (45 ± 10 years) with UI who purchased the Perifit device, completed a validated symptoms questionnaire before training (T1) and again at one or several predefined timepoints during training: T2, after completing 40-60 games; T3, after 90-120 games; and/or T4, after 280-300 games. Results: UI symptom score decreased progressively from 8.4 ± 4.8 points at T1; to 6.3 ± 4.7 points, 5.5 ± 4.5 points, and 4.6 ± 4.5 points at T2, T3, and T4, respectively (all Conclusions: This analysis of responses from over 6000 real-world users suggests that home training with the Perifit may be an effective way to reduce UI symptoms in women of all ages. Given the quality of life, economic, and social burdens of living with UI symptoms, home-based pelvic floor muscle training with the Perifit may be a promising tool to allow women to self-manage UI.

Indexed as

biofeedbackmobile applicationspelvic floorrehabilitationurinary incontinencewomen

Identifiers

PMID38516650
PMCPMC10956527
OpenAlexW4392799462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.