Peyronie Hastalığının Bilimsel Evriminin Haritalandırılması: Bibliyometrik ve Makine Öğrenimi Analizi

Yıl 2025, Cilt: 7 Sayı: 3, 945 - 952, 19.12.2025

Alper Şimşek , Mehmet Kırdar , Nart Görgü , Aykut Başer , Güngör Bingöl , Kadir Kesgin

https://doi.org/10.46413/boneyusbad.1763692

Öz

Amaç: Peyronie hastalığı, penis eğriliği, ağrılı ereksiyonlar ve cinsel işlev bozukluğu ile sonuçlanabilen fibroz plak oluşumu ile karakterize edinilmiş bir bağ dokusu bozukluğudur. Son yirmi yılda bu hastalıkla ilgili yayınlarda belirgin bir artış olmuştur; ancak bilimsel kalitedeki değişkenlik, yüksek etkili çalışmaları belirlemeyi güçleştirmektedir. Bu çalışma, peyronie hastalığı hakkındaki makalelerin bibliyometrik analizini yaparak güncel araştırma eğilimlerini ortaya koymayı ve gelecekteki çalışmalara rehberlik etmeyi amaçlamaktadır.
Gereç ve Yöntem: 16 Şubat 2025’te Web of Science, Scopus ve TR Dizin veri tabanlarında “Peyronie hastalığı”, “Peyronie hastalığının tedavisi”, “penil fibrozis” ve “tunika albuginea plak” anahtar kelimeleri kullanılarak literatür taraması yapıldı. Yalnızca İngilizce yayınlanan ve başlığında “Peyronie” geçen orijinal araştırma makaleleri dahil edildi. Veriler BibloX yazılımı ile analiz edildi.
Bulgular: Toplam 4.550 makale saptandı. Yayınların 2000 yılından sonra, özellikle Amerika Birleşik Devletleri’nde belirgin şekilde arttığı görüldü. En çok atıf alan makale Gelbard MK’nin “Peyronie Hastalığının Doğal Tarihi” çalışmasıydı (397 atıf). Anahtar kelimeler arasında “Peyronie hastalığı” ve “erektil disfonksiyon” ön plandaydı. Makine öğrenimi modelleri 2026 yılı için farklı atıf tahminleri ortaya koydu.
Sonuç: Bu çalışma, makine öğrenimi algoritmalarını Peyronie hastalığı araştırmalarının bibliyometrik değerlendirmesine entegre ederek, veri odaklı tahminler ve gelecekteki araştırma yönlerine dair içgörüler sunmaktadır.

Anahtar Kelimeler

Peyroni hastalığı , Penis , Fibrozis , Bibliometrik analiz , Makine öğrenmesi

Mapping the Scientific Evolution of Peyronie’s Disease: A Bibliometric and Machine Learning Analysis

Öz

Aim: Peyronie’s disease is an acquired penile connective tissue disorder characterized by fibrous plaque formation, leading to curvature, pain, and sexual dysfunction. Research on peyronie’s disease has increased markedly in the past two decades, but variability in study quality complicates the identification of impactful work. This study aimed to perform a bibliometric analysis of peyronie’s disease-related publications to highlight research trends and guide future studies.
Material and Method: A literature search was conducted on February 16, 2025, in Web of Science, Scopus, and TR Dizin using the terms “Peyronie’s disease,” “treatment of Peyronie’s disease,” “penile fibrosis,” and “tunica albuginea plaque.” Only English-language original research articles with “Peyronie” in the title were included. Data were analyzed with BibloX, assessing publication year, citations, journal frequency, and keyword trends. Citation forecasts were generated using machine learning models.
Results: A total of 4,550 articles were identified, with the earliest in 1948. Publications rose sharply after 2000, particularly from the United States. The most cited study was Gelbard MK’s Natural History of Peyronie’s Disease (397 citations). Keyword analysis highlighted “Peyronie’s disease” and “erectile dysfunction.” Predictive models forecast varying 2026 citation counts.
Conclusion: This analysis integrates machine learning algorithms into the bibliometric evaluation of Peyronie’s disease research, offering data-driven predictions and insights into future research directions.

Anahtar Kelimeler

Peyronie disease , Penis , Fibrosis , Bibliometrics , Machine learning

Kaynakça

• Abrishami, A., & Aliakbary, S. (2019). Predicting citation counts based on deep neural network learning techniques. Journal of Informetrics, 13(2), 485-499. https://doi.org/10.1016/j.joi.2019.02.011
• Acuna, D. E., Allesina, S., & Kording, K. P. (2012). Predicting scientific success. Nature, 489(7415), 201-202. https://doi.org/10.1038/489201a
• Alzubaidi, R. T., Abdelkareem, M., Al-Zoubi, R. M., Al-Qudimat, A. R., Yasin, A., Kamkoum, H., & Al-Ansari, A. A. (2025). Outcomes and management of Peyronie’s disease with combined treatment of collagenase clostridium histolyticum, vacuum erection device, and tadalafil. Asian Journal of Andrology. https://doi.org/10.4103/aja202514
• Başer, A., Çelen, S., Bütün, S., Özlülerden, Y., Alkış, O., Toktaş, C., & Turan, T. (2020). Peyroni cerrahisinde hasta memnuniyetine etki eden faktörler. Pamukkale Medical Journal, 13(3), 705-713. https://doi.org/10.31362/patd.730400
• Christiansen, A., Smelser, W., Broghammer, J., & Deibert, C. M. (2021). Funding Peyronie’s disease: funding sources for primary research literature. International Journal of Impotence Research, 33(1), 82-85. https://doi.org/10.1038/s41443-020-0244-6
• Chung, E., De Young, L., & Brock, G. (2011). Rat as an animal model for Peyronie's disease research: a review of current methods and the peer-reviewed literature. International Journal of Impotence Research, 23(6), 235-241. https://doi.org/10.1038/ijir.2011.36
• Cooper, I. D. (2015). Bibliometrics basics. Journal of the Medical Library Association: JMLA, 103(4), 217. https://doi.org/10.3163/1536-5050.103.4.013
• Deveci, S., Palese, M., Parker, M., Guhring, P., & Mulhall, J. P. (2006). Erectile function profiles in men with Peyronie’s disease. The Journal of Urology, 175(5), 1807-1811. https://doi.org/10.1016/S0022-5347(05)01018-9
• Gao, D., Shen, Y., Tang, B., Ma, Z., Chen, D. A., Yu, X., … Chang, D. (2024). The 100 most-cited publications on Peyronie’s disease: a bibliometric analysis and visualization study. International Journal of Impotence Research, 36(2), 110-117. https://doi.org/10.1038/s41443-023-00703-7
• Garfield, E. (1987). 100 citation classics from the Journal of the American Medical Association. JAMA, 257(1), 52-59.
• Gelbard, M., Goldstein, I., Hellstrom, W. J., McMahon, C. G., Smith, T., Tursi, J., … & Carson, C. C. (2013). Clinical efficacy, safety and tolerability of collagenase clostridium histolyticum for the treatment of Peyronie disease in 2 large double-blind, randomized, placebo controlled phase 3 studies. The Journal of Urology, 190(1), 199-207. https://doi.org/10.1016/j.juro.2013.01.087
• Gelbard, M. K., Dorey, F., & James, K. (1990). The natural history of Peyronie’s disease. The Journal of Urology, 144(6), 1376-1379. https://doi.org/10.1016/S0022-5347(17)39746-X
• Kesgin, K., & Ozer, D. (2025). BiBLoX: A flask-based automatic bibliometrics and machine learning system for scientific trend prediction. Authorea Preprint. https://doi.org/10.22541/au.174106668.81840735/v1
• Kim, H. J., Yoon, D. Y., Kim, E. S., Lee, K., Bae, J. S., & Lee, J.-H. (2016). The 100 most-cited articles in neuroimaging: a bibliometric analysis. NeuroImage, 139, 149-156. https://doi.org/10.1016/j.neuroimage.2016.06.029
• Mazloumian, A. (2012). Predicting scholars' scientific impact. PLoS ONE, 7(11), e49246. https://doi.org/10.1371/journal.pone.0049246
• Mulhall, J. P., Creech, S. D., Boorjian, S. A., Ghaly, S., Kim, E. D., Moty, A., …. & Hellstrom, W. (2004). Subjective and objective analysis of the prevalence of Peyronie’s disease in a population of men presenting for prostate cancer screening. The Journal of Urology, 171(6 Part 1), 2350-2353.
• Mulhall, J. P., Schiff, J., & Guhring, P. (2006). An analysis of the natural history of Peyronie’s disease. The Journal of Urology, 175(6), 2115-2118. https://doi.org/10.1016/S0022-5347(06)00270-9
• Nehra, A., Alterowitz, R., Culkin, D. J., Faraday, M. M., Hakim, L. S., Heidelbaugh, J. J., … & Miner, M. M. (2015). Peyronie’s disease: AUA guideline. The Journal of Urology, 194(3), 745-753. https://doi.org/10.1016/j.juro.2015.05.098
• Nelson, C. J., Diblasio, C., Kendirci, M., Hellstrom, W., Guhring, P., & Mulhall, J. P. (2008). The chronology of depression and distress in men with Peyronie's disease. The Journal of Sexual Medicine, 5(8), 1985-1990. https://doi.org/10.1111/j.1743-6109.2008.00895.x
• Smith, J. F., Walsh, T. J., Conti, S. L., Turek, P., & Lue, T. (2008). Risk factors for emotional and relationship problems in Peyronie's disease. The Journal of Sexual Medicine, 5(9), 2179-2184. https://doi.org/10.1111/j.1743-6109.2008.00949.x
• Şahin, M. F., Doğan, Ç., Akgül, M., Yazıcı, C. M., Şeramet, S., & Dayısoylu, H. S. (2024). Bibliometric analysis of most cited Peyronie's disease and its management publications. Frontiers in Surgery, 11, 1336391. https://doi.org/10.3389/fsurg.2024.1336391