SynthesisFrontiers in neurology2024
Intravaginal electrical stimulation for the treatment of pelvic floor dysfunction: a systematic review and meta-analysis.
Synthesis in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electrical stimulation and biofeedback combined with pelvic floor muscle training for pelvic floor dysfunction in postpartum women: a systematic review and meta-analysis.Frontiers in physiology · 2026Pooled it
- Comparison of the Efficacy of Three Intervention Schemes for Postpartum Pelvic Floor Muscle Hypertonia.International urogynecology journal · 2025Trial
- Electrotherapy Plus Photobiostimulation for the Treatment of Mild Pelvic Organ Prolapse and Stress Urinary Incontinence.Journal of clinical medicine · 2026Article
- Feasibility of Multimodal Energy-Based Therapy for Pelvic Floor Disorders.Medicina (Kaunas, Lithuania) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Intravaginal electrical stimulation (IVES) has been explored as a potential treatment for pelvic floor disorders (PFDs), although its efficacy remains a subject of debate. We aim to conducted a comprehensive meta-analysis of relevant trials. Methods: This meta-analysis was performed under the PRISMA 2020 guideline. We meticulously searched for randomized controlled trial (RCT) studies in various databases, including PubMed, Cochrane Library, EMBASE, and ClinicalTrials.gov, spanning from inception to March 6, 2023. All studies included one treatment group of intravaginal electrical stimulation and the diseases spectrum of the studies involved different kinds of PFDs, including urinary incontinence, overactive bladder, etc. Risk of bias charts were used to assess the risk of bias in the studies and forest plots were used the demonstrate the overall effects. Results: Our analysis encompassed a total of 13 RCT studies. In most of the assessed PFD cure outcomes, the results demonstrated positive effects of IVES therapy, as indicated by the following findings: daily voiding frequency (MD = -1.57, 95% CI = -3.08 to -0.06, Discussion: In light of the insufficiency in both the quality and quantity of the included studies, it is premature to draw a definitive conclusion regarding the efficacy of IVES therapy for treating PFDs. Nonetheless, our study does provide several pieces of evidence in support of the potential therapeutic effects of electrical stimulation therapy in this context. We recommend that further research in this area be conducted to provide more conclusive insights into the efficacy of IVES therapy for PFDs. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier: CRD42023442171.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.