Efficacy and safety of endoscopic nasobiliary drainage versus percutaneous transhepatic cholangial drainage in the treatment of advanced hilar cholangiocarcinoma: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate and compare the efficacy and safety of Endoscopic Nasobiliary Drainage (ENBD) and Percutaneous Transhepatic Cholangiography Drainage (PTCD) in patients with advanced Hilar Cholangiocarcinoma (HCCA) through a meta-analysis of clinical studies. METHODS: We searched Chinese and English databases, including China National Knowledge Infrastructure (CNKI), Wanfang database, PubMed, Embase, Scopus, and Web of Science, for relevant literatures on PTCD and ENBD for advanced HCCA clinical trials. Two investigators independently screened the literatures, and the quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). The primary endpoint was the success rate of biliary drainage operation, while secondary endpoints included Total Bilirubin (TBIL) change, acute pancreatitis, biliary tract infection, hemobilia, and other complications. R software was used for data analysis. RESULTS: A comprehensive database search, based on predefined inclusion and exclusion criteria, yielded 26 articles for this study. Analysis revealed that PTCD had a significantly higher success rate than ENBD [OR (95% CI) = 2.63 (1.98, 3.49), Z=6.70, P<0.05]. PTCD was also more effective in reducing TBIL levels post-drainage [SMD (95%CI) =-0.13 (-0.23, -0.03), Z=-2.61, P<0.05]. While ENBD demonstrated a lower overall complication rate [OR (95%CI) = 0.60 (0.43, 0.84), Z=-2.99, P<0.05], it was associated with a significantly lower incidence of post-drainage biliary hemorrhage compared to PTCD [OR=3.02, 95%CI: (1.94-4.71), Z= 4.89, P<0.01]. CONCLUSIONS: This meta-analysis compares the efficacy and safety of ENBD and PTCD for palliative treatment of advanced HCCA. While both are effective, PTCD showed superiority in achieving successful drainage, reducing TBIL, and lowering the incidence of acute pancreatitis and biliary infections. However, ENBD had a lower risk of post-drainage bleeding. Clinicians should weigh these risks and benefits when choosing between ENBD and PTCD for individual patients. Further research is needed to confirm these findings and explore long-term outcomes.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.041 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".