A guide to the management of urologic dilemmas for the primary care physician (PCP).
Bibliographic record
Abstract
Patients with urologic conditions may present to a primary care physician (PCP) in the emergency department or in the PCP's office. Some conditions are true emergencies that require immediate surgical intervention. Others may require medical treatment or possibly simply reassuring the patient that there is no serious medical problem. Sometimes the diagnosis can be easily made, whereas other times the PCP needs to be able to rule out serious causes for a presenting problem and execute a guideline-recommended patient work up, to make a final diagnosis. Sometimes recommended diagnostic tests may not be readily available. When a PCP believes that a patient may have a serious urologic condition and is unsure of the appropriate patient management strategy, then he or she must quickly refer the patient to a urologist. This article describes common urology-related issues-hematuria, prostate-specific antigen (PSA) test interpretation, phimosis and paraphimosis, acute scrotal pain and masses in the child and adult, urinary tract infection, renal colic, and castration-treatment-induced bone loss. It provides insights into decision-making processes for patient management of some urologic conditions, and information about managing sequelae and side effects of long term treatment. It includes practical diagnostic suggestions and patient management strategies based on the authors' years of urologic clinical practice experience.
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.
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 | 0.000 | 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 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".