Trends in Penile Prosthetics: Influence of Patient Demographics, Surgeon Volume, and Hospital Volume on Type of Penile Prosthesis Inserted in New York State
Bibliographic record
Abstract
INTRODUCTION: Penile prostheses (PPs) are a discrete, well-tolerated treatment option for men with medical refractory erectile dysfunction. Despite the increasing prevalence of erectile dysfunction, multiple series evaluating inpatient data have found a decrease in the frequency of PP surgery during the past decade. AIMS: To investigate trends in PP surgery and factors affecting the choice of different PPs in New York State. METHODS: This study used the New York State Department of Health Statewide Planning and Research Cooperative (SPARCS) data cohort that includes longitudinal information on hospital discharges, ambulatory surgery, emergency department visits, and outpatient services. Patients older than 18 years who underwent inflatable or non-inflatable PP insertion from 2000 to 2014 were included in the study. OUTCOMES: Influence of patient demographics, surgeon volume, and hospital volume on type of PP inserted. RESULTS: Since 2000, 14,114 patients received PP surgery in New York State; 12,352 PPs (88%) were inflatable and 1,762 (12%) were non-inflatable, with facility-level variation from 0% to 100%. There was an increasing trend in the number of annual procedures performed, with rates of non-inflatable PP insertion decreasing annually (P < .01). More procedures were performed in the ambulatory setting over time (P < .01). Important predictors of device choice were insurance type, year of insertion, hospital and surgeon volume, and the presence of comorbidities. CLINICAL IMPLICATIONS: Major influences in choice of PP inserted include racial and socioeconomic factors and surgeon and hospital surgical volume. STRENGTHS AND LIMITATIONS: Use of the SPARCS database, which captures inpatient and outpatient services, allows for more accurate insight into trends in contrast to inpatient sampling alone. However, SPARCS is limited to patients within New York State and the results might not be generalizable to men in other states. Also, patient preference was not accounted for in these analyses, which can play a role in PP selection. CONCLUSIONS: During the past 14 years, there has been an increasing trend in inflatable PP surgery for the management of erectile dysfunction. Most procedures are performed in the ambulatory setting and not previously captured by prior studies using inpatient data. Kashanian JA, Golan R, Sun T, et al. Trends in Penile Prosthetics: Influence of Patient Demographics, Surgeon Volume, and Hospital Volume on Type of Penile Prosthesis Inserted in New York State. J Sex Med 2018;15:245-250.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".