The Revised-Panic Screening Score for emergency department patients with noncardiac chest pain.
Bibliographic record
Abstract
OBJECTIVES: We sought to reduce the 90% rate of missed diagnoses of panic-like anxiety (panic attacks with or without panic disorder) among emergency department patients with low risk noncardiac chest pain by validating and improving the Panic Screening Score (PSS). METHOD: A total of 1,102 patients with low risk noncardiac chest pain were prospectively and consecutively recruited in two emergency departments. Each patient completed a telephone interview that included the PSS, a brief 4-item screening instrument, new candidate predictors of panic-like anxiety, and the Anxiety Disorder Interview for the Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition to identify panic-like anxiety. RESULTS: The original 4-item PSS demonstrated a sensitivity of 51.8% (95% CI [48.4, 57.0]) and a specificity of 74.8% (95% CI [71.3, 78.1]) for panic-like anxiety. Analyses prompted the development of the Revised-PSS; this 6-item instrument was 19.1% (95% CI [12.7, 25.5]) more sensitive than the original PSS in identifying panic-like anxiety in this sample (χ2(1, N = 351) = 23.89 p < .001) while maintaining a similar specificity (χ2(1, N = 659) = 0.754, p = .385; 0.4%, 95% CI [-3.6, 4.5]). The discriminant validity of the Revised-PSS proved stable over the course of a 10-fold cross-validation. CONCLUSIONS: The Revised-PSS has significant potential for improving identification of panic-like anxiety in emergency department patients with low risk noncardiac chest pain and promoting early access to treatment. External validation and impact analysis of the Revised-PSS are warranted prior to clinical implementation. (PsycINFO Database Record
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".