Pain and Fatigue in Elderly Cancer Patients
Bibliographic record
Abstract
The aim of this study was to evaluate the pain and fatigue levels of elderly cancer patients and to examine whether pain is an independent variable in fatigue development. A total of 250 elderly cancer patients undergoing treatment in the outpatient chemotherapy units and internal medicine clinic at 2 hospitals were enrolled. A "Patient Information Form," the "McGill Melzack Pain Questionnaire," and the "Brief Fatigue Inventory" were used as data instruments. It was determined that all patients had pain and that the mean present pain intensity score was 2.70 ± 0.99, the mean worst pain intensity score was 4.40 ± 0.86, and the mean least pain intensity score was 1.40 ± 0.66. Whereas the existing fatigue severity score of the patients with fatigue (43.6%) was 6.27 ± 2.06, the mean usual fatigue severity of the patients in the last 24 hours was 6.19 ± 1.63 and that the mean worst fatigue severity score in the last 24 hours was 7.29 ± 1.57. When the regression analysis carried out between the pain and fatigue intensities is examined, it was determined that pain is an independent variable in increasing fatigue and that there is a statistically significant relationship (P < .05). It is important that nurses develop strategies to prevent and determine activities to decrease the pain and fatigue of the patients while planning and implementing their holistic care in a relevant manner.
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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 | 0.001 | 0.005 |
| 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".