Utilization rates, complications and costs of percutaneous liver biopsy: a population‐based study including 4275 biopsies
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Liver biopsy is an important tool in the management of patients with liver disease. Because biopsy practices may be changing, we studied patterns of use in a large Canadian Health Region. We aimed to describe trends in biopsy utilization and the incidence and costs of complications from a population-based perspective. METHODS: Administrative databases were used to identify percutaneous liver biopsies performed between 1994 and 2002. Significant complications were identified by reviewing medical records of patients hospitalized within 7 days of a biopsy and those with a diagnostic code indicative of a procedural complication. Analyses of biopsy rates employed Poisson regression. RESULTS: Between 1994 and 2002, 3627 patients had 4275 liver biopsies (median 1 per patient; range 1-12). Radiologists performed the majority (90%), particularly during the latter years (1994 vs. 2002: 73 vs. 98%; P<0.0001). The overall annual biopsy rate was 54.8 per 100 000 population with a 41% (95% CI 23-61%) increase between 1994 and 2002. Annual increases were greatest in males and patients 30-59 years. Thirty-two patients (0.75%) had significant biopsy-related complications (1994-1997 vs. 1998-2002: 1.28 vs. 0.44%; P=0.003). Pain requiring admission (0.51%) and bleeding (0.35%) were most common. Six patients (0.14%) died; all had malignancies. The median direct cost of a hospitalization for complications was $4579 (range $1164-29 641). CONCLUSIONS: Liver biopsy rates are increasing likely owing to the changing epidemiology and management of common liver diseases. The similarity of the complication rate in our population-based study with estimates from specialized centres supports the safety of this important procedure.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it