Vulvodynia affects 7% of American women, yet clinicians often lack awareness of its presentation. It is underdiagnosed and often misdiagnosed as vaginitis. The etiology of vulvodynia remains unknown, making it difficult to identify or develop effective treatment methods. The purpose of this article is to (1) review the presentation and evaluation of vulvodynia, (2) review the research on vulvodynia treatments, and (3) aid the clinician in the selection of vulvodynia treatment methods. The level of evidence to support vulvodynia treatment varies from case series to randomized controlled trials (RCTs). Oral desipramine with 5% lidocaine cream, intravaginal diazepam tablets with intravaginal transcutaneous electric nerve stimulation (TENS), botulinum toxin type A 50 units, enoxaparin sodium subcutaneous injections, intravaginal TENS (as a single therapy), multimodal physical therapy, overnight 5% lidocaine ointment, and acupuncture had the highest level of evidence with at least one RCT or comparative effectiveness trial. Pre to posttest reduction in vulvar pain and/or dyspareunia in non-RCT studies included studies of gabapentin cream, amitriptyline cream, amitriptyline with baclofen cream, up to 6 weeks' oral itraconazole therapy, multimodal physical therapy, vaginal dilators, electromyography biofeedback, hypnotherapy, cognitive behavioral therapy, cold knife vestibulectomy, and laser therapy. There is a lack of rigorous RCTs with large sample sizes for the treatment of vulvodynia, rendering it difficult to determine efficacy of most treatment methods. Clinicians will be guided in the selection of best treatments for vulvodynia that have the highest level of evidence and are least invasive.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107324PMC
http://dx.doi.org/10.1111/jmwh.13456DOI Listing

Publication Analysis

Top Keywords

treatment methods
12
level evidence
12
vulvodynia
9
treatment vulvodynia
8
vulvodynia treatment
8
therapy multimodal
8
multimodal physical
8
physical therapy
8
highest level
8
cream amitriptyline
8

Similar Publications

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

Comput Biol Med

January 2025

Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:

- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.

View Article and Find Full Text PDF

Background: Tegoprazan (TPZ), a potassium-competitive acid blocker with potent gastric acid-suppressing activity, may be a potential agent for treating Helicobacter pylori infection. The study aimed to evaluate the efficacy of TPZ-based therapy for H. pylori eradication compared with proton pump inhibitor (PPI)-based therapy.

View Article and Find Full Text PDF

Quantitative Evaluation of Multiple Treatment Regimens for Treatment-Resistant Depression.

Int J Neuropsychopharmacol

January 2025

Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Shanghai 201203, China.

Objective: This study aims to quantitatively evaluate the efficacy and safety of various treatment regimens for treatment-resistant depression (TRD) across oral, intravenous, and intranasal routes to inform clinical guidelines.

Methods: A systematic review identified randomized controlled trials on TRD, with efficacy measured by changes in the Montgomery-Åsberg Depression Rating Scale (MADRS). We developed pharmacodynamic and covariate models for different administration routes, using Monte Carlo simulations to estimate efficacy distribution.

View Article and Find Full Text PDF

Study Objectives: This study assessed the utilization of potentially inappropriate medications (PIM) including oral sedative-hypnotic and atypical antipsychotic (OSHAA), healthcare resource utilization (HCRU), and costs among elderly individuals with insomnia and in the subpopulation with Alzheimer's Disease (AD) who also had a diagnosis of insomnia.

Methods: Using claims database containing International Classification of Diseases, 10th Revision (ICD-10) codes, the cohort included individuals aged ≥ 65 with incident insomnia (EI, N=152,969) and AD insomnia subpopulation (ADI, N=4,888). Proportion of patients utilizing atypical antipsychotics or oral sedative-hypnotic medications, namely z-drugs, benzodiazepines, doxepin, Dual Orexin Receptor Antagonists (DORAs), and melatonin agonists, were assessed.

View Article and Find Full Text PDF

Efficient and Rapid Generation of Neural Stem Cells by Direct Conversion Fibroblasts with Single microRNAs.

Stem Cells

January 2025

Medicine and Pharmacy Research Center, and Yantai Key Laboratory for Stem Cell Biology and Regenerative Medicine, Binzhou Medical University, 346 Guanhai Road, Yantai, Shandong 264003, China.

Neural stem cells (NSCs) have great potentials in the application of neurodegenerative disease therapy, drug screening, and disease modeling. However, current approaches for induced NSCs (iNSCs) generation from somatic cells are still slow and inefficient. Here we establish a rapid and efficient method of iNSCs generation from human and mouse fibroblasts by single microRNAs (miR-302a).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!