Cancer worry interference and health service utilization in women with Lynch Syndrome: the role of trusting one's physician
Bibliographic record
Abstract
Lynch syndrome (LS) is a genetic predisposition to adult-onset of multiple cancers. Some high risk women report significant cancer-specific distress (Ritvo et al., 1999) and highly anxious high risk women may utilize more medical services than those who are less anxious (e.g., Bish et al., 2002). Trust in one's physician has been found to be associated with less anxiety and distress in patients and a reduction in medical visits. The current study examined the association between intolerance of uncertainty and prior cancer diagnosis with cancer-specific worry interference and medical utilization in women with LS (N=128) via self-report measures. Additionally, trust in physician was examined as a moderator. Findings indicated higher intolerance of uncertainty was associated with more worry interference, and having more trust in one’s physician moderated this relationship. Having a greater number of prior cancer diagnoses was also associated with both outcomes, but trust in physician did not moderate these relationships. The implications for potential intervention are discussed.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".