Frequency of anxiety and depression and screening performance of the Edmonton Symptom Assessment Scale in a psycho‐oncology clinic
Bibliographic record
Abstract
OBJECTIVE: The primary objective of this study was to determine the frequency of screening instrument-detected depression and anxiety in outpatients on initial presentation to a consultation psychiatric oncology clinic. The secondary objectives were to identify characteristics associated with depression and anxiety among these patients, and to determine the optimal cut-off score for the ESAS-Anxiety (ESAS-A) and ESAS-Depression (ESAS-D) items, using the Patient Health Questionnaire (PHQ-9) and the General Anxiety Disorder Scale (GAD-7) as a gold standard in cancer patients. METHODS: A retrospective chart review was conducted for 1221 consecutive cancer patients seen in the Psychiatric Oncology Center as an initial consult between June 1, 2014 and January 31, 2017. RESULTS: When the cutoff was 10 for the PHQ-9 and the GAD-7, 60% of patients self-reported depression and 51% self-reported anxiety. When the cutoff was 15 (severe symptom) for the PHQ-9 and GAD-7, approximately 30% and 27% of the patients had severe depression or anxiety, respectively. Age and gender were found to be associated with anxiety. An ESAS cutoff value of ≥3 for depression and ≥5 for anxiety resulted in sensitivity of 0.84 and 0.85 when using PHQ 9 ≥ 10 for depression and GAD 7 ≥ 10 for anxiety, respectively. CONCLUSIONS: Self-reported depression and anxiety are frequent symptoms among patients at a psychiatric oncology center for an initial visit. ESAS-A and ESAS-D have good sensitivity for anxiety and depression screening of cancer patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".