Evaluation of the validity and screening performance of a revised single‐item fear of cancer recurrence screening measure (FCR‐1r)
Bibliographic record
Abstract
OBJECTIVE: Fear of cancer recurrence (FCR) is highly prevalent among cancer survivors, but irregularly identified in practice. Single-item FCR measures suitable for integration into broader psychosocial screening are needed. This study evaluated the validity of a revised version of the original FCR-1 (FCR-1r) and screening performance alongside the Edmonton Symptom Assessment System - Revised (ESAS-r) anxiety item. METHODS: The FCR-1r was adapted from the FCR-1 and modelled on the ESAS-r. Associations between FCR-1r and FCR Inventory-Short Form (FCRI-SF) scores determined concurrent validity. Relationships of FCR-1r scores with variables related (e.g., anxiety, intrusive thoughts) and unrelated (e.g., employment/marital status) to FCR determined convergent and divergent validity respectively. A Receiver-Operating Characteristic analysis examined screening performance and cut-offs for the FCR-1r and ESAS-r anxiety item. RESULTS: 107 participants were recruited in two studies (Study 1, July-October 2021, n = 54; Study 2: November 2021-May 2022, n = 53). The FCR-1r demonstrated concurrent validity against the FCRI-SF (r = 0.83, p < 0.0001) and convergent validity versus the Generalised Anxiety Disorder-7 (r = 0.63, p < 0.0001) and Impact of Event Scale-Revised Intrusion subscale (r = 0.55, p < 0.0001). It did not correlate with unrelated variables (e.g., employment/marital status), indicating divergent validity. An FCR-1r cut-off ≥5/10 had 95% sensitivity and 77% specificity for detecting clinical FCR (area under the curve (AUC) = 0.91, 95% CI 0.85-0.97, p < 0.0001); ESAS-r anxiety cut-off ≥4 had 91% sensitivity and 82% specificity (AUC = 0.87, 95% CI 0.77-0.98, p < 0.0001). CONCLUSIONS: The FCR-1r is a valid and accurate tool for FCR screening. Further evaluation of the screening performance of the FCR-1r versus the ESAS-r anxiety item in routine care is needed.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".