408 Failing Our Patients - Intracavernous Injection Treatment Success is Dependent on Optimized Testing and Teaching
Bibliographic record
Abstract
The success or failure of intracavernous injection (ICI) therapy is often dependent on health care provider (HCP) factors. Success in the office should be followed by success at home, yet in our experience there is a not insignificant number of men who are taught ICI and present for evaluation of surgery (penile prosthesis - PP) because of ICI failure. In our subspecialty clinic, the daily volume for team-based care under surgeon and registered practical nurse (RPN) is 4 new consult/cavernous injection and stimulation (CIS) test appointments, 12 cavernous injection and stimulation tests, 4 ICI teaches (based on successful CIS tests to EHS 4 or DS Trimix 1 cc test giving maximum usable response). We present observations for optimizing ICI success. All patients with a CIS test performed from January 1, 2016 to May 30, 2016 were reviewed. Twenty-one patients were referred for failed ICI or for PP surgery due to failed ED treatments.
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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 | 0.001 |
| 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".