A Urine-Based Biomarker for Chronic Prostatitis/Chronic Pelvic Pain Syndrome: A Retrospective Multi-Center Study
Bibliographic record
Abstract
Abstract Background There are currently no objective diagnostic criteria for chronic prostatitis or chronic pelvic pain syndrome and no accepted therapies that cure the disease. Methods We identified 372 patients with chronic prostatitis diagnosed from 2015 to 2018 and collect the information of age, routine urinary test, EPS and NIH-CPSI. Results Our study demonstrated a correlation between the increase of PSEP level and NIH-CPSI scores. At meantime, the correlation was found between the PSEP level and EPS-white blood cells. Conclusions These findings highlight the potential of PSEP as a viable indicator of symptomatic progression of CP/CPPS. Applications of PSEP assay may guide drug discovery and lead to the better treatment to improve patient’s quality of life.
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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 | 0.039 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.016 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".