The psychometric properties and factor structure of persian version of edmonton symptom assessment scale in cancer patients
Bibliographic record
Abstract
CONTEXT: Edmonton Symptom Assessment Scale (ESAS) was developed to assess objective and subjective symptoms in patients with cancer in all stages of their disease. AIM: The aim of the study was to translate and determine the psychometric properties of ESAS in an Iranian population. MATERIALS AND METHODS: The current study was carried out to determine reliability and validity of ESAS using 246 patients with cancer in Imam Khomeini Hospital, Ardabil, Iran. After translating the instrument to Persian, content and face validity, discriminant validity, internal consistency, and test-retest were done to determine psychometric properties of ESAS. Furthermore, the construct validity was determined using confirmatory factor analysis to evaluate factor structure of the tool in two models: single factor and three factor. RESULTS: < 0001). CONCLUSIONS: This study showed that Persian version of ESAS with same factor structure mentioned in the original version is an applicable tool for assessing objective and subjective symptoms in Iranian patients with cancer.
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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".