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.

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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
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article

Discrete mathematical network analysis bridging clinical vocabulary and patient discourse in interstitial cystitis/bladder pain syndrome online communications

Machiko Okui, Nobuo Okui, Shigeo Horie, Yoshihiro Ikehata et al.
1 citations
Scientific Reports
Machine Learning in Healthcare
2.48
article

Discrete mathematical network analysis bridging clinical vocabulary and patient discourse in interstitial cystitis/bladder pain syndrome online communications

Machiko Okui, Nobuo Okui, Shigeo Horie, Yoshihiro Ikehata, Yasunaru Sakuma, Kenta Ichino
article en
1 citations

Abstract

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.

Scientific ReportsVol. 16(1)
Juntendo University (JP), Yokosuka Kyosai Hospital (JP), Naval Hospital Yokosuka Japan (JP), Kanagawa Dental University (JP)
Openalex Percentile: Top 8%
Machine Learning in Healthcare
2.48
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Discrete mathematical network analysis bridging clinical vocabulary and patient discourse in interstitial cystitis/bladder pain syndrome online communications — Machiko Okui, Nobuo Okui, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS