Impact of cisplatin-related adverse health outcomes (AHOs) on employment outcomes and self-reported health (SRH) among testicular cancer survivors (TCS).
Bibliographic record
Abstract
e16058 Background: We aim to provide new information on cisplatin-related AHOs and employment status in TCS and evaluate impact on SRH. Methods: 1,815 TCS ³1 year post-chemotherapy underwent physical exam, audiometry, renal function evaluation, and completed questionnaires. Therapy data were obtained from medical records. A cumulative burden of morbidity score (CBM Pt ) assessed the number and severity of platinum-related AHOs (peripheral sensory neuropathy (PSN), hearing loss, tinnitus, and renal function) with grading per CTCAE v4.03. Multivariable regression assessed relations between CBM Pt score, individual AHOs and employment status as well as SRH, adjusting for sociodemographic/clinical factors. Unemployment in TCS was compared with subjects in the Behavioral Risk Factor Surveillance System (BRFSS) of similar age/race/ethnicity. Results: Almost 1 in 10 TCS were either on disability leave (2.4%) or unemployed (6.8%) at a median age of 37 yr (median follow-up: 4 yr). TCS with tinnitus (OR = 3.1, grade 3 vs. 0, P = 0.04), renal dysfunction (OR = 13.5, grade 3 vs. 0, P = 0.01), or pain (OR = 7.2 and 40.9, grade 2 or 3 vs. 0, respectively; P < 0.001 each) had significantly greater odds of disability leave vs. full-time employment after adjusting for sociodemographic/clinical factors; pain was strongly correlated with PSN (Pearson r 2 = 0.40; P < 0.001). CBM Pt score was associated with disability leave (OR = 1.5, P = 0.04), but not with unemployment. A significantly higher percentage of TCS were unemployed vs. BRFSS norms (e.g. 3.6% of TCS age 35-39 vs. 2.0% in BRFSS). PSN (OR = 2.2, grade 3 vs. 0, P = 0.02), self-reported hearing loss (OR = 1.8, grade 2/3 vs. 0, P = 0.04), and pain (OR = 2.8 and 8.5, grade 2 or 3 vs. 0, respectively; P < 0.01 each) were each associated with increased odds of unemployment vs. full-time employment. Cisplatin-related AHOs and pain were associated with significantly worse SRH (P < 0.05). Conclusions: Our findings have new, important implications regarding productivity loss and socioeconomic costs in TCS. Survivorship care strategies should include inquiries about employment status, and every effort made to assist affected TCS in returning to the work force.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| 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 | 0.001 |
| 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 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".