Anxiety and Symptom Assessment in Turkish Gynecologic Cancer Patients Receiving Chemotherapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Diagnosis and treatment procedures in cancers and resulting anxiety negatively affect the individual and the family. Particularly treatment methods may generate psychological symptoms. The aim of this study was to determine the level of such symptoms in Turkish gynecologic cancer patients receiving chemotherapy. A total of 41 patients who were referred to our gynecologic oncology research clinic between January-March 2012, receiving 3 months or more chemotherapy and who agreed to participate were enrolled in study. All the data were collected using a personal information form, Edmonton Symptom Assesment System and State-Trait Anxiety Inventory. Patients received highest point average from fatigue symptom (6.53±2.67) and lowest point average from dyspnea (1.53±3.03) according to Edmonton Symptom Assesment System. The mean State Anxiety score of patients was 43.1±9.77 and mean Trait Anxiety score was 46.7±7.01. Comparing symptoms of patients and mean State Anxiety score it was found that there was a statistically significant corelation with symptoms like pain (p<0.05), sadness (p<0.001), insomnia (p<0.05), state of well being (p<0.001) and dyspnea (p<0.05). Similarly comparing symptoms of patients and mean Trait Anxiety score demonstrated significant correlations for fatigue (p<0.05), sadness (p<0.01), insomnia (p<0.01) and state of well-being (p<0.01). As a result, patients with gynecological cancers experienced symptoms related to chemotherapy and a moderate level of anxiety. In accordance, appropriate interventions should recommended for the evaluation and improvement of anxiety and symptoms related to treatment in cancer patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it