QOL-21. PSYCHOMETRIC VALIDATION OF THE FEAR OF CANCER RECURRENCE INVENTORY FOR PRIMARY BRAIN TUMOR PATIENTS
Bibliographic record
Abstract
Abstract BACKGROUND Fear of cancer recurrence and progression (FCR) is a significant concern among those living with primary brain tumor and may be distinct compared to FCR in other cancer populations due to poorer prognosis, neurologic symptoms, and often lifelong treatment. The gold-standard comprehensive assessment tool for FCR–the FCR Inventory (FCRI)–includes 42 items with seven subscales. Validation of the FCRI scale excluded those with primary brain tumors. The present study is the first examination of the psychometric properties of the full FCRI in a heterogeneous sample of patients with primary brain tumors. METHODS Adult patients with primary brain tumors (n=334) completed the FCRI, with six additional brain tumor-specific items, and psychological, medical, and demographic questionnaires. In accordance with best practices of measure development, exploratory factor analysis (EFA) was conducted on the FCRI at the subscale level. Correlations investigated construct validity. RESULTS EFA largely supported the overall psychometric properties of the original FCRI. Several subscales were unchanged: Psychological Distress, Functioning Impairments, Insight, and Reassurance. One brain tumor-specific item (researching treatments) exhibited good fit on the Coping Skills subscale. On the Severity subscale, one item (belief that the tumor will not return) did not fit with an otherwise strong one-factor model. Additionally, five new brain tumor-specific items demonstrated good fit with the Triggers subscale. The resultant FCRI-Brain includes 41 original FCRI items plus six new brain tumor-specific items. FCRI-Brain demonstrated good convergent validity with measures of depression (r=.72), anxiety (r=.75), and death anxiety (r=.80; ps<.05). CONCLUSIONS This is the first validation of the comprehensive FCRI in patients with primary brain tumors. Factor analysis identified a theoretically similar and brain-tumor specific seven-factor model for the FCRI-Brain. Item-level and subscale statistics will be presented, including factor iteration and construction. Future work will use the FCRI to investigate FCR intervention efficacy in neuro-oncology.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".