An assessment of the yield of EUS in patients referred for dilated common bile duct and normal liver function tests
Bibliographic record
Abstract
OBJECTIVE: This study aims to determine the yield of EUS in patients with common bile duct (CBD) dilation and normal liver function tests (LFTs). MATERIALS AND METHODS: Between October 2000 and December 2016, all patients referred for EUS for unexplained CBD dilatation (CBD ≥7 mm), with normal aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, and bilirubin and no history of sphincterotomy, were eligible. Linear-array EUS was performed by one of the two experienced endosonographers. Data were extracted from a prospectively maintained database. RESULTS: Of 29,920 upper gastrointestinal EUS procedures performed, 840/29,920 (3%) were for unexplained CBD dilation. Of 840 patients, 199 (24%) had normal LFTs, 99% were Caucasian, 46% had biliary-type abdominal pain, and 41% were postcholecystectomy. EUS diagnosed choledocholithiasis (CDL) or sludge in 18/199 (9%) patients (7/18 had CBD sludge only). No other pathology was diagnosed. Of 18 CDL patients, 15 (83%) had an intact gallbladder, and all 15 patients had cholelithiasis. The frequency of CDL or sludge in postcholecystectomy patients was only 3.7% (3/82); none of these patients were younger than 69 years of age. Regression analyses showed no associations between EUS diagnosis of CDL or sludge and biliary-type abdominal pain, other symptoms, sex, or race. Each additional year of age was associated with an increase in the risk of CDL or sludge by a factor of 1.05 (odds ratio: 1.05; P = 0.034). SUMMARY: In patients with CBD dilation and normal LFTs, the only significant pathology identified is CBD stones or sludge (almost exclusively in elderly patients with cholelithiasis). CONCLUSION: EUS should be avoided in patients with dilated bile ducts and normal LFTs, especially if under 65 years of age and postcholecystectomy.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".