Differences in Baseline Characteristics and Outcomes at 1- and 2-Year Follow-up of Cancer Survivors Accrued via Self-Referral versus Cancer Registry in the FRESH START Diet and Exercise Trial
Bibliographic record
Abstract
Participant accrual to research studies is a challenge; oftentimes, advertisements are used to supplement cases ascertained through clinic caseloads and cancer registries. It is unknown, however, if cases ascertained through these two sources differ. In this study, we compared self-referred (n = 209) and registry-ascertained (n = 334) participants enrolled in FRESH START, a randomized controlled trial promoting a healthy diet and increased exercise among breast and prostate cancer survivors. The two groups were compared on baseline characteristics, adherence, attrition, and outcomes by study arm. Compared with participants enrolled from registries, self-referrals were significantly younger (54.1 +/- 10.4 versus 58.7 +/- 10.7 years), more likely to have later-stage disease and to have received chemotherapy (40% versus 19%), and more likely to report "fighting spirit" coping styles (50% versus 30%), lower quality-of-life (88.2 +/- 15.1 versus 92.0 +/- 12.9), fewer comorbid conditions (1.87 +/- 1.60 versus 2.24 +/- 1.78), and lower consumption of five or more daily servings of fruits and vegetables (35% versus 45%; P values <0.05). Although no differences in behavior change were observed between self-referred and registry-ascertained cases assigned to the tailored intervention arm, this was not the case within the attention control arm. Among those who received the attention control intervention of standardized materials in the public domain, self-referred versus registry-ascertained participants showed significantly greater increases in exercise at 1-year follow-up and significantly greater increases in fruit and vegetable consumption at both 1- and 2-year follow-up (P values <0.05). Several differences exist between self-referred and registry-ascertained participants, including motivation to respond to standardized educational materials, which appears significantly greater in self-referred populations.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".