Fear of cancer recurrence therapy (FORT): A randomized controlled trial.
Bibliographic record
Abstract
OBJECTIVE: Most fear of cancer recurrence (FCR) interventions have small effects, and few target FCR. This randomized controlled trial (RCT) with breast and gynecological cancer survivors evaluated the efficacy of a cognitive-existential fear of recurrence therapy (FORT) compared to an attention placebo control group (living well with cancer [LWWC]) on FCR. METHOD: One hundred and sixty-four women with clinical levels of FCR and cancer distress were randomly assigned to 6-weekly, 120 min FORT (n = 80) or LWWC (n = 84) group sessions. They completed questionnaires at baseline (T1), posttreatment (T2; primary endpoint), 3 (T3), and 6 months (T4) posttreatment. Generalized linear models were used to compare group differences in the fear of cancer recurrence inventory (FCRI) total score and secondary outcomes. RESULTS: FORT participants experienced greater reductions from T1 to T2 on FCRI total with a between-group difference of -9.48 points (p = .0393), resulting in a medium effect of -0.530, with a maintained effect at T3 (p = .0330) but not at T4. For the secondary outcomes, improvements were in favor of FORT, including FCRI triggers (p = .0208), FCRI coping (p = .0351), cognitive avoidance (p = .0155), need for reassurance from physicians (p = .0117), and quality of life (mental health; p = .0147). CONCLUSIONS: This RCT demonstrated that FORT, compared to an attention placebo control group, resulted in a greater reduction in FCR posttreatment and at 3 months posttreatment in women with breast and gynecological cancer, indicating its potential as a new treatment strategy. We recommend a booster session to sustain gains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".