Illness intrusiveness among survivors of autologous blood and marrow transplantation
Bibliographic record
Abstract
BACKGROUND: Illness-induced disruptions to lifestyles, activities, and interests (i.e., illness intrusiveness) compromise subjective well-being. The authors measured illness intrusiveness in autologous blood and bone marrow transplantation (ABMT) survivors and compared the results with survivors of solid organ transplants. METHODS: Forty-four of 64 consecutive ABMT survivors referred to the University of Toronto ABMT long-term follow-up clinic completed the Illness Intrusiveness Ratings Scale (IIRS), the Affect Balance Scale (ABS), the Atkinson Life Happiness Rating (ATKLH), the Beck Hopelessness Scale (BHS), and the Center for Epidemiologic Studies Depression (CES-D) Scale. Mean time from ABMT to evaluation was 4.6 +/- 2.8 years. All patients were in remission or had stable disease at the time of evaluation. Autologous blood and bone marrow transplantation patients' IIRS scores were compared with scores reported by recipients of kidney (n = 357), liver (n = 150), lung (n = 77), and heart (n = 60) transplants. RESULTS: Mean IIRS score for the 44 ABMT patients was 37.2 +/- 17 (maximum possible score, 91; minimum possible score, 13). Higher IIRS scores correlated with lower scores on the ABS (r = -0.54; P < 0.0001), and ATKLH (r = -0.44; P = 0.004), and with higher scores on the BHS (r = 0.58; P < 0.0001) and CES-D (r = 0.48; P < 0.0001). The authors compared IIRS scores from the ABMT survivors with scores from recipients of solid organ transplants. Scores were corrected for age, gender, and time from transplant to evaluation. Corrected mean IIRS scores for the marrow (37.5), kidney (38.9), heart (40.0), lung (30.1), and liver (32.3) transplant recipients differed significantly (P < 0.0001 by analysis of covariance). Higher scores among marrow, kidney, and heart transplant survivors were caused by increased scores in the instrumental domain of the IIRS that measures disruptions in health, work, financial situation, and active recreation. CONCLUSIONS: Despite achieving a remission after ABMT, patients continue to experience illness intrusiveness compromising subjective well-being.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".