The Clinician's Toolbox: Assessing the Sexual Impacts of Cancer on Adolescents and Young Adults with Cancer (AYAC)
Bibliographic record
Abstract
INTRODUCTION: Adolescents and young adults aged 15-39 years who have been diagnosed with cancer (AYAC) have unique medical and psychosocial needs. Following their cancer treatments, AYAC must learn to manage the sometimes irreversible general side effects of cancer treatments including side effects that impact their sexuality. These side effects include but are not limited to: infertility, altered body/physical appearance, and sexual dysfunction. Such effects may hinder AYAC efforts to date and experiment sexually, limiting sexual maturation and confidence, as well as the formation or maintenance of meaningful couple and sexual relationships. It is clear that we need to tailor our clinical approaches to ensure that we assess the unique needs and concerns faced by AYAC. AIMS: Based on consistent study findings substantiating the distinctive needs of AYAC, the main objective of this article is to present the core clinical components involved in assessing sexuality among AYAC. METHODS: The clinical recommendations are based on the authors and experts' clinical experiences coupled with a thorough examination of the literature related to AYAC sexuality. MAIN OUTCOME MEASURES: This article first describes the three components (clinical interview, review of chart notes, and self-report questionnaires) of a sexuality assessment and the seven core domains that highlight target areas of focus. RESULTS: A detailed outline of each of the core domains of assessment (socio-demographics; medical history; fertility and sexually transmitted infection; sexual functioning; sexual coping style; body and self-image; and sexual history and dating/couple experience) is presented. A "toolbox" table containing useful resources for clinicians (e.g., questionnaires and red flags) and direct resources for AYAC patients are included. CONCLUSION: Cancer can have a significant impact on numerous domains of AYAC sexuality. The assessment of and attention to the impact of sexuality on AYAC is crucial in order to provide effective and comprehensive quality patient cancer care.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".