Association Between Institutional Factors and Long‐Term Survival Following Transjugular Intrahepatic Portosystemic Shunt
Bibliographic record
Abstract
Transjugular intrahepatic portosystemic shunt (TIPS) is a procedure designed to treat portal hypertension. Hospital teaching status is an institutional factor found to be predictive of outcomes following several complex procedures; however, its impact on outcomes following TIPS is unknown. The aim of this study was to determine the association between hospital teaching status and long‐term survival in patients with cirrhosis receiving TIPS. We performed a retrospective population‐based cohort study using linked administrative health data from Ontario, Canada. Adult patients with cirrhosis who received TIPS between January 1, 1998, and December 31, 2016, with follow‐up until December 31, 2017, were included. Hospital teaching status was defined based on hospital participation in the instruction of medical students and/or resident physicians. Liver transplant‐free (LTF) survival was evaluated using Kaplan‐Meier analysis, and overall survival was assessed using competing risks regression analysis, which accounted for hospital clustering. A total of 857 unique patients were included (mean age 57.1 years; 69.1% male). The TIPS procedures were performed in teaching hospitals (84.3%) as well as nonteaching hospitals (15.7%). Median LTF survival was more than twice as long for procedures performed in teaching hospitals compared to nonteaching hospitals (2.2 years versus 0.9 year, respectively; P < 0.001). After adjusting for confounders and clustering, hospital teaching status was not independently associated with mortality (nonteaching subdistribution hazard ratio [sHR], 1.32; 95% confidence interval [CI], 0.97‐1.81; P = 0.08); however, annual hospital procedure volume was (per unit increase sHR, 0.96; 95% CI, 0.93‐0.99; P = 0.003). Conclusion: Hospital procedure volume is associated with long‐term survival following TIPS. These results further support the centralization of TIPS to high‐volume hospitals to improve long‐term outcomes in this population.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".