Discrete mathematical network analysis bridging clinical vocabulary and patient discourse in interstitial cystitis/bladder pain syndrome online communications
Interstitial cystitis/bladder pain syndrome is a chronic condition involving pelvic pain and urinary symptoms. A three-stage analytical framework examined the correspondence between vocabulary from validated clinical questionnaires and language used in patient discussions on social media. Stage 1 identified 19 symptom-related terms from three questionnaires, all consistent with international diagnostic criteria. Stage 2 analyzed over 500,000 words from online discussions, detecting 73.7% of these terms and revealing a central "pain-urgency-voiding" triad in patient discourse. Stage 3 mapped strong symptom-site links, including burning-urethra and pain-abdomen, which may indicate underrecognized comorbidities. Clinical terms occupied central positions in the discourse network and showed greater structural importance than general vocabulary. Findings highlight differences between clinical terminology and patient-preferred language, suggesting strategies to improve assessment tools, address terminology gaps, and enhance patient-centered care. The approach is adaptable to other chronic conditions, supporting integration of real-world patient expression into clinical practice.
Authors
- Machiko Okui
- Nobuo Okui (ORCID: https://orcid.org/0000-0001-5894-5283)
- Shigeo Horie
- Yoshihiro Ikehata (ORCID: https://orcid.org/0000-0002-6706-2359)
- Yasunaru Sakuma
- Kenta Ichino
Institutions
- Juntendo University (JP)
- Yokosuka Kyosai Hospital (JP)
- Naval Hospital Yokosuka Japan (JP)
- Kanagawa Dental University (JP)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1038/s41598-025-30819-3
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48