Comparison of deep phenotyping features of UCPPS with and without Hunner lesion: A MAPP‐II Research Network Study
Bibliographic record
Abstract
OBJECTIVE: To use the phenotyping data from the MAPP-II Symptom Patterns Study (SPS) to compare the systemic features between urologic chronic pelvic pain syndrome (UCPPS) with Hunner lesion (HL) versus those without HL. METHODS: We performed chart review on 385 women and 193 men with UCPPS who enrolled in the MAPP-II SPS. 223 had cystoscopy and documentation of HL status. Among them, 12.5% had HL and 87.5% did not. RESULTS: UCPPS participants with HL were older, had increased nocturia, higher Interstitial Cystitis Symptom and Problem Indexes, and were more likely to report "painful urgency" compared with those without HL. On the other hand, UCPPS without HL reported more intense nonurologic pain, greater distribution of pain outside the pelvis, greater numbers of comorbid chronic overlapping pain conditions, higher fibromyalgia-like symptoms, and greater pain centralization, and were more likely to have migraine headache than those with HL. UCPPS without HL also had higher anxiety, perceived stress, and pain catastrophizing than those with HL. There were no differences in sex distribution, UCPPS symptom duration, intensity of urologic pain, distribution of genital pain, pelvic floor tenderness on pelvic examination, quality of life, depression, pain characteristics (nociceptive pain vs. neuropathic pain), mechanical hypersensitivity in the suprapubic area during quantitative sensory testing, and 3-year longitudinal pain outcome and urinary outcome between the two groups. CONCLUSIONS: UCPPS with HL displayed more bladder-centric symptom profiles, while UCPPS without HL displayed symptoms suggesting a more systemic pain syndrome. The MAPP-II SPS phenotyping data showed that Hunner lesion is a distinct phenotype from non-Hunner lesion.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".