ArticleInternational journal of impotence research2020
Comparison of clinician and patient users of a mobile phone application to assess penile curvature in Peyronie's disease.
Article in International journal of impotence research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 14 citations in OpenAlex.
- Ability and accuracy of the smartphone-based O`VIEW-M® sperm test: Useful tool in the era of Covid-19.PloS one · 2022Trial
- Development of a new Peyronie's disease self-assessment screening app.Translational andrology and urology · 2024Review
- Current and Future Directions of Technology in Assessment of Peyronie's Disease.Current urology reports · 2024Review
- The Emerging Role of Artificial Intelligence and Automated Platforms for the Assessment of Penile Curvature: A Scoping Review.Current urology reports · 2024Article
- A model for digital innovations in sexual medicine.International journal of impotence research · 2020Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of Peyronie's disease with penile injection is invasive and uncomfortable. We developed a smartphone application (UWPEN) to assess penile angulation in the home environment. The purpose of this study was to compare clinician and patient measurements and assess the patient experience with UWPEN in a clinical setting. We prospectively enrolled patients with Peyronie's disease undergoing intracavernosal injection of alprostadil. Penile angulation and narrowing were then assessed by patients and clinicians using UWPEN and compared to values obtained via a goniometer and a ruler (gold standard). Measurements were compared using the Pearson correlation test. Upon completion of measurements, patients were surveyed regarding the ease of use, confidence with use, and measurement preferences. Twenty patients were enrolled in the study; two patients were excluded for poor penile turgidity after a maximum dosage of intracavernosal alprostadil. Correlation between UWPEN and gold standard measurements by patients and clinicians was R = 0.55 (p = 0.01) and R = 0.87 (p < 0.01) for dorsal measurements, R = 0.62 (p = 0.01) and R = 0.77 (p < 0.01) for lateral measurements, and R = 0.73 (p < 0.01) and R = 0.64 (p < 0.01) for girth measurements, respectively. Prior evaluation of correlation suggests a strong correlation at R = 0.8, and good correlation at R = 0.5. Overall, patients preferred using UWPEN to traditional measurements, and 75% reported UWPEN as their first preference for measurements. UWPEN enables patients to assess their disease severity with good correlation to gold standard measurements. Patients prefer mobile platforms for disease monitoring, and development of technology for disease monitoring should be a priority within the Peyronie's disease research community.
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.