Predictors Of Fear Of Recurrence In Breast Cancer Survivors
Bibliographic record
Abstract
Objective: Fear of recurrence is a phenomenon associated with breast cancer survivorship that has been shown to cause pervasive and prominent distress, and poorer overall quality of life.Determining the factors that predict fear of recurrence is important for understanding its consequences on breast cancer survivors.Design: This study examined whether certain demographic and medical factors influence and predict a fear of recurrence.The factors included time since diagnosis, age at diagnosis, the stage of breast cancer, and the number and average age of children.Main outcome measures: Fear of recurrence was measured using the Concerns About Recurrence Scale.Over 3000 participants were recruited online with a final sample of 1116 breast cancer survivors.Results: Five multiple regression models were performed to explore whether particular demographic and medical variables significantly predicted overall fears and worries associated with role, death, womanhood, and health.All five regression models were significant and analyses revealed commonalities underlying certain fears. Conclusions:The study identified characteristics of women who may be at greater risk for chronic psychological distress and would benefit from ongoing supportive 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".