QOLP-07. EXPLORING CALM IN PATIENTS WITH HIGH-GRADE GLIOMA
Bibliographic record
Abstract
Abstract BACKGROUND Patients with high-grade glioma report substantial psychological distress, yet are frequently excluded from psycho-oncology research. Managing Cancer and Living Meaningfully (CALM) is an expressive-supportive psychotherapy designed to address the inevitable challenges that patients with advanced cancer face. CALM was shown in a large randomized controlled trial to reduce depression and death-related distress, but brain cancer was an exclusion criterion. METHODS In this ongoing ORBIT Model Phase Ib Refine trial, 10 adults with high-grade glioma and heightened distress (PHQ/DADDS) participated in CALM. Feasibility and acceptability were assessed based on established metrics, satisfaction was explored by surveys and exit-interviews, and preliminary efficacy of reducing distress was analyzed by pre to post-CALM paired t-tests; effect sizes estimated using Cohen’s d. RESULTS Of 11 patients referred and screened, 10 enrolled in the study (91% enrollment rate; 70% GBM; 70% female; M age =55yrs). Reasons for withdrawal was disinterest in intervention topics (n=2). Eight patients completed baseline assessments and at least one CALM session. To date, seven have completed treatment. Retention is 63%, with one participant still in active treatment. No adverse events were determined to be study-related. Perceived benefit was high (4.8/5), and all participants reported they would recommend program to others. Pre- to post-CALM analyses show medium-to-large effects on reducing depression (d=1.2), anxiety (d=.74), and death-related distress (d=.54). Small effects were seen for quality-of-life improvement (d=.26). Fear of cancer recurrence worsened (d=.75). CONCLUSIONS Preliminary data suggests that CALM is both feasible and acceptable in adult patients with high-grade glioma. Enrollment and retention rates were adequate. Patients reported high benefit and recommendation to others. Depression, generalized anxiety, and death-related distress all improved with medium-to-large effects, suggesting CALM may be a promising intervention for high-grade glioma patients as they navigate the challenges of brain cancer. Adjunctive treatment may be necessary to address fear of cancer recurrence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".