Prevalence and associated factors for dipstick microscopic hematuria in men
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Microscopic hematuria is a common incidental finding on routine urinalysis. Although there are no clear recommendations to perform routine urinalysis, some studies have shown that up to 50% of general practitioners continue to perform annual routine urinalysis regardless of age or risk factors. The aim of this study was to identify associated factors and prevalence of dipstick microscopic hematuria in the general male population presenting to an annual public men's health fair. METHOD: We conducted a retrospective analysis of prospectively collected data at an annual Men's Health fair from 2008 to 2013. Patient reported health questionnaires, basic physical exam including digital rectal exam, basic bloodwork and dipstick urinalysis data was examined. RESULTS: A total of 979 patients were reviewed. Of these, 850 provided a urine sample and were included in the final analysis. Seventy-three (8.6%) patients had positive hematuria on urinalysis. Average age in both groups was 55 years. Presence of microscopic hematuria was correlated with presence of diabetes and proteinuria with odds-ratio of 2.8 (1.3-5.8) and 2.9 (1.7-5.0) respectively on multivariate analysis. There was no significant correlation identified with age, hypertension, coronary artery disease, body-mass index, smoking, prostate specific antigen (PSA) or International Prostate Symptom Score (IPSS). Limitation of this study is the lack of follow-up and knowledge of subsequent investigations of patients. CONCLUSION: Microscopic hematuria is a prevalent condition in the male population presenting to a health fair. The only factors associated with microscopic hematuria were diabetes and proteinuria. No association was found between hematuria and smoking, age, or lower urinary tract symptoms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| 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 it