“It's Probably Just Hemorrhoids”: A Qualitative Exploration of the Lived Experiences and Perceptions of Long-term Survivors of Early-Onset Colorectal Cancer
Bibliographic record
Abstract
BACKGROUND: Colorectal cancer among adults aged <50 years [early-onset colorectal cancer (EOCRC)] is projected to be the leading cause of cancer-related death by 2030. Although evidence-based guidelines for colorectal cancer screening now recommend beginning screening at age 45, the needs of many at-risk young adults are potentially being overlooked. Unanswered questions also remain regarding the effects of EOCRC on quality-of-life and psychosocial outcomes. This qualitative study explored the lived experiences and perceptions of a sample of adult EOCRC survivors in the United States through one-on-one interviews. METHODS: An EOCRC advocate survivor team member led 27 structured virtual interviews using a 10-question interview guide. Data were analyzed using a 9-step inductive approach. RESULTS: Participants were geographically diverse. Most were women (66.6%) who self-identified as non-Hispanic White (85.2%). The mean age at interview was 40.19 ± 5.99; at diagnosis, 33.93 ± 5.90. Six overarching themes emerged: signs and symptoms, risk factors, system-level factors, quality of life, social support, and reflection. CONCLUSIONS: The specific needs of individuals in this younger population of patients with colorectal cancer should be considered during treatment and future interventions and throughout survivorship. IMPACT: While the reasons for the increasing incidence of EOCRC are currently unknown, the lived experiences and perceptions of EOCRC survivors noted in this study highlight specific needs of this population that can inform educational materials, comprehensive care, future research, and policy change.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".