Symptom and Anxiety Assessment in Gynecologic Cancer Patients Receiving Chemotherapy
Bibliographic record
Abstract
Background: Side effects of chemotherapy usually disturbed the daily life of patients. During chemotherapy, quality of life of patients is affected by the severity of symptoms experienced. Objective: To evaluate the side effects experienced by gynecologic cancer patients receiving chemotherapy.Methods: Gynecologic cancer patients receiving chemotherapy (at least 1 cycle with standard premedication that included antiemetic drugs) between 18 June and 25 September 2019 were invited to this study. Participants were interviewed by our team for personal data and attitudes toward their disease and treatment. In addition, the Edmonton Symptom Assessment System (ESAS-Thai version) tool, and Multinational Association for Supportive Care in Cancer (MASCC) antiemetic tool were used to assess the symptoms during chemotherapy. Results: One hundred sixty-five participants entered this study. The mean age was 53.5. The three most common type of cancer were ovarian (37.6%), cervical (37.6%) and uterine cancer (21.8%). Most common chemotherapy was carboplatin plus paclitaxel (64.8%). Two-thirds of the participants believed they could be cured. The most common severe symptom from the ESAS tool was pain (20.6%), followed by fatigue (18.8%), appetite change (16.4%) and numbness (10.3%). In addition, 10.9% of patients experienced nausea/vomiting in acute phase, while 20.6% experienced it in the delayed phase. Conclusion: Our participants revealed positive attitudes toward cancer and treatment. Some patients experienced nausea and vomiting despite using antiemetic drugs. The most frequent self-reported symptom was pain. Therefore, pain control was necessary to improve their quality of life.
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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".