Comorbidity Prevalence and Impact on Quality of Life in Gay and Bisexual Men Following Prostate Cancer Treatment
Bibliographic record
Abstract
INTRODUCTION: Studies have demonstrated worse health related quality of life (HRQOL) outcomes in gay and bisexual men (GBM) following prostate cancer treatment compared to heterosexual men potentially due to differences in comorbidity burden. AIM: To establish the prevalence of comorbidities and their association with HRQOL metrics in GBM following prostate cancer treatment. METHODS: We evaluated HRQOL and prevalence of comorbidities in 193 GBM from the United States and Canada in a cross-sectional, online survey: the Masked for Review. HRQOL was measured with the Expanded Prostate Cancer Index Composite (EPIC) and the 12-Item Short Form Health Survey (SF-12). MAIN OUTCOME MEASURES: Our outcomes included comorbidity prevalence, mean differences for HRQOL scores by comorbidity status, and mean differences for HRQOL by comorbidity count. RESULTS: GBM were found to have a higher prevalence of blood vessel disease and mental health disorders but lower prevalence of obesity and type 2 diabetes when compared to published data in general prostate cancer populations. Statistically significant reductions in HRQOL metrics were associated with mental health diagnoses, diabetes, and obesity. Increased number of comorbidities was also associated with reductions in HRQOL metrics in nearly all categories. CONCLUSION: These results suggest that the worse QOL outcomes in GBM following prostate cancer treatment may be due to differences in comorbidity burden. This study is the first to evaluate the relationship between comorbidities and HRQOL outcomes in GBM. Limitations of this study include a small sample size and cross-sectional study design. If confirmed in larger, longitudinal, clinically confirmed studies, these findings indicate a need to intervene on and consider comorbidities in GBM diagnosed with prostate cancer. Haggart R, Polter E, Ross M, et al. Comorbidity Prevalence and Impact on Quality of Life in Gay and Bisexual Men Following Prostate Cancer Treatment. Sex Med 2021;9:100439.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".