Auditing Carotid Endarterectomy: A Regional Experience
Bibliographic record
Abstract
BACKGROUND: Proof from randomized controlled trials that carotid endarterectomy (CEA) is efficacious in stroke prevention has resulted in a large resurgence of its use in recent years. We wished to determine if patients in our region were being selected and treated with complication rates consistent with the randomized trials. METHODS: We have completed four audits of CEAs performed in our region since 1994, each followed by feed-back of results to the participating surgeons. Operations for > 70% symptomatic stenosis were considered appropriate, those for 50%-69% symptomatic and > 60% asymptomatic stenosis were considered uncertain and all others, including those in medically or neurologically unstable patients, were designated inappropriate. In part 4, the referral source and nature of the patients was also determined. RESULTS: Part 1 (April 1994-September 1995) found that of 291 CEAs performed 33% were appropriate, 48% were uncertain and 18% were inappropriate, and 40% of patients who underwent CEA were asymptomatic. In part 2 (September 1996-September 1997) appropriate indications significantly improved to 49% of 184 CEAs (P=0.005), uncertain indications remained nearly the same at 47%, inappropriate indications fell to 4% (P=.00002), and asymptomatic patients remained at 40%. The results of part 3 (October 1997-October 1998) remained nearly the same as part 2 (249 CEAs, 47% appropriate, 51% uncertain, 2% inappropriate, 45% asymptomatic). Part 4 (October 1999-October 2000) results were significantly better than part 3, appropriate indications increasing from 47% to 58% of 222 CEAs (P=0.02), and an elimination of inappropriate operations (P=0.03). Stroke and death complications declined over the study period from an overall rate of 5.2% in part 1 to 2.3% in part 4. In part 4 the majority of patients (69%) were referred to surgeons directly from general practitioners, including 58 (73%) of the 80 asymptomatic patients who underwent CEA. INTERPRETATION: Regular auditing and feedback of results and information to surgeons has resulted in significant and continued improvements in the surgical performance of CEA in our region. Since the majority of patients are referred directly to surgeons by general practitioners, it is important that this group of physicians be familiar with current CEA guidelines.
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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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".