Patient-reported psychosocial distress in adolescents and young adults with germ cell tumors.
Bibliographic record
Abstract
521 Background: Germ cell tumours are the most common cancer of male adolescents and young adults (AYA, age 18-39). Men in this age group have been healthy much of their lives, and are at a stage of personal and professional growth, consequently a diagnosis of cancer can cause significant psychosocial distress. We evaluated patient reported psychosocial distress and hypothesized that AYA compared to older patients experienced more anxiety and distress in emotional, practical and physical domains. Methods: All patients referred to BC Cancer complete the Psychosocial Screen for Cancer (PSSCAN-R) at first consultation. This is a validated screening questionnaire for distress. Components include a screen for subclinical/clinical symptoms of depression and anxiety and the Canadian Problem Checklist (CPC) with 6 domains of concern: emotional, informational, practical, spiritual, social/family and physical. Results: Data was collected for 349 patients from 2011-2015. Baseline characteristics: 227 (65%) AYA, median age 33 (range 18-83), 41 (11%) metastatic disease at diagnosis. The top 3 AYA concerns were work/school (38.3%), financial (34.8%), frustration and anger (26%). AYA patients scored positive for subclinical/clinical anxiety more commonly than their older counterparts (39.4% vs. 27.9%, p = 0.028). AYA patients with subclinical/clinical anxiety symptoms experienced more fears and worries (41.5%), concerns regarding work/school (38%), lack of understanding of their disease (37.9%), finances (35.3%) and frustration and anger (26.3%) than AYA patients who do not express anxiety symptoms. Conclusions: The results of this study indicate that AYA with testicular cancer have unique needs and experience significantly more self-reported anxiety symptoms with emotional, informational, and practical concerns. Programs tailored to address needs of AYA patients may help reduce anxiety and improve the cancer experience. The results of this study are valuable to stakeholders for allocation of resources to address psychosocial parameters of distress in this patient group.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".