A prospective investigation of the prognosis of noncardiac chest pain in emergency department patients
Bibliographic record
Abstract
OBJECTIVES: This study sought to describe the 2-year evolution of the intensity and frequency of noncardiac chest pain (NCCP), NCCP-related disability and health-related quality of life in a cohort of emergency department (ED) patients. It also aimed to identify and characterize subgroups of patients who share similar NCCP trajectories. METHODS: 672 consecutive patients with NCCP were prospectively recruited in two EDs. NCCP, physical and mental health-related quality of life and pain-related impairment were assessed at baseline and 6 months, 1 year and 2 years after the index ED visit. RESULTS: Significant reductions in the intensity and frequency of NCCP and in NCCP-related disability were observed over time, with 58.1% of patients being considered NCCP-free at the 2-year follow-up. Four trajectories of NCCP intensity were identified through latent class growth mixture modelling: Worsening Trajectory (6.8%), Persistence Trajectory (20.5%), Limited Improvement Trajectory (13.1%) and Remission Trajectory (59.5%). Physical quality of life was significantly higher in the latter two trajectories at all assessment points. Patients in the Remission Trajectory reported a better mental quality of life and a greater decrease in NCCP-related disability over time than those in the other trajectories. CONCLUSIONS: Over 40% of ED patients with NCCP experienced persistent biopsychosocial morbidity that warrants further clinical attention.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".