Hospital utilization and costs for spinal cord stimulation compared with enhanced external counterpulsation for refractory angina pectoris
Bibliographic record
Abstract
RATIONALE, AIMS AND OBJECTIVES: The aim of this study was to compare acute hospital utilization and costs for patients with refractory angina pectoris undergoing spinal cord stimulation (SCS) versus enhanced external counterpulsation (EECP). METHOD: Seventy-three persons were included in this register study. The acute hospital utilization and costs for SCS and EECP were followed over a period from 12 months before treatment to 24 months after treatment using Patient Administrative Support in Skåne for publicly organized care. RESULTS: SCS was significantly more expensive than EECP (P < 0.001). Both SCS and EECP entailed fewer days of hospitalization for coronary artery disease in the 12-month follow-up compared with the 12 months preceding treatment. Patients treated with EECP showed an association between reduced hospital admissions and an improved Canadian Cardiovascular Society classification class compared with 1 year before treatment. A significant reduction in cost was seen in both the SCS group (P = 0.018 and P = 0.001, respectively) and the EECP group (P = 0.002 and P = 0.045, respectively) during 12 and 24 months of follow-up compared with before treatment. There were no significant differences between the groups for hospitalization days or admissions, including costs, at the different follow-ups. CONCLUSIONS: Cost-effective treatment modalities such as SCS and EECP are valuable additions to medical and revascularization therapy in patients with refractory angina pectoris. Pre-existing conditions and the patient's preferences should be taken in consideration when clinicians choose between treatments for this group of patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".