Risk of gallbladder cancer in patients with primary sclerosing cholangitis and radiographically detected gallbladder polyps
Bibliographic record
Abstract
BACKGROUND & AIMS: Primary sclerosing cholangitis (PSC) is associated with an increased risk of gallbladder cancer (GBC). Gallbladder polyps potentially harbour malignancy and thus international guidelines recommend prophylactic cholecystectomy for gallbladder polyps of any size in patients with PSC. To best inform patient care we sought to quantify the malignant risk of gallbladder polyps in patients with PSC. METHODS: A retrospective cohort study of patients followed in secondary and tertiary care settings in two large PSC clinics in North America was performed. RESULTS: In total, 453 patients were included with a median (IQR) follow-up time of 7.7 (4.1-12) years. A gallbladder polyp was radiographically detected in 16% (n = 71) with median size (range) of 4 (2-18) mm. In this group, post-cholecystectomy histology (n = 17) reported benign or no polyp in 77% (n = 13), dysplasia in 5.9% (n = 1) and malignancy in 18% (n = 3). The GBC rate was 8.8 (95% CI 1.8-25.7) per 1000 person-years in patients with a radiographically detected gallbladder polyp. GBC was associated with polyps >10 mm, interval growth or mass-like lesions on pre-operative imaging. In patients who did not have cholecystectomy (n = 50), the polyp was only transiently seen in 80% (n = 40), remained stable or decreased in size in 10% (n = 5) and increased in size in 6% (n = 3). The majority of gallbladder polyps did not show significant growth over time (0.041 mm/year [95% CI -0.017 to 0.249]). CONCLUSIONS: Most gallbladder polyps in patients with PSC are benign. Short-term surveillance imaging may be considered prior to recommending immediate cholecystectomy in patients with PSC without high-risk imaging features.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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".