Quality of Life and Symptoms of Hospitalized Hematological Cancer Patients
Bibliographic record
Abstract
Patients with hematological malignancies undergo intensive treatment and prolonged hospitalization, thus having a variety of physical and psychosocial symptoms and worse quality of life (QOL). This study aimed to assess the QOL and investigate the symptoms of hospitalized hematological cancer patients. A cross-sectional study was conducted in the hematology clinics and day units of two general hospitals of Heraklion, Crete. Adult patients with hematological malignancy and an adequate understanding of the Greek language participated. A demographic questionnaire, the European Organization for Research and Treatment for Cancer quality assessment questionnaire (EORTC QLQ-C30), and the MD Anderson Symptom Inventory (MDASI) were used. The sample consisted of 120 patients—42.5% were women, with a mean age of 65.6 years. The mean time from diagnosis was 33 months. The global health status of QoL had an average value of 47.1. The highest levels of QOL were found in the subscale of cognitive function (72.8) and the lowest in the role function (46.1). For the EORTC QLQ-C30 symptoms scale, the lowest score was found in nausea-vomiting (11.0) and the highest in fatigue (59.1). In the MDASI, in part I (core symptoms), higher levels but also medium intensities were reported at fatigue (78.3%, mean 3.5), drowsiness (65.0, mean 3.3), and distress (65.8%, mean 2.8). In part II, enjoyment of life (85.8%, mean 5.1) had the highest, and relation with other people (67.5%, mean 3.7) had the lowest scores. The increase in the severity of the core symptoms (part I) was related to females (rho = 0.193, p <0.05) and comorbidities (rho = 0.220, p < 0.05). It was also associated with a significant decrease in all functional domains and increased fatigue (rho = 0.571, p < 0.05) in the EORTC QLQ-C30 questionnaire. The increased global health status was related to males (rho = −0.185, p < 0.05) and physical functioning with younger age (rho = −0.331, p < 0.05), higher education (rho = 0.239, p < 0.05), fewer months from diagnosis (rho = −0.199, p < 0.05), and low comorbidity (rho = −0.209, p < 0.05). Finally, multiple linear regression analysis revealed that the total average symptom score of the MDASI was the most significant factor influencing the global health status of the EORTC QLQ-C30 (β = −4.91, p < 0.001). The increased global health status of the EORTC QLQ C30 was not significantly related (p > 0.05) to the social characteristics of the patients, such as education or employment, which requires further validation. The QoL of hematological cancer patients significantly decreases during treatments due to a considerable number of symptoms that must be taken into consideration for high-quality, individualized care.
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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 | 0.000 | 0.003 |
| 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) | 0.001 | 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 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".