Observational studyLangenbeck's archives of surgery2024
6,126 hepatectomies in 2022: current trend of outcome in Italy.
Observational study in Langenbeck's archives of surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07556835 (Ambispective Cohort Study of Clinical and Oncologic Outcomes in Patients Undergoing Liver and Biliary Resection at San Jacopo Hospital, Pistoia), which is not on this map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Ambispective Cohort Study of Clinical and Oncologic Outcomes in Patients Undergoing Liver and Biliary Resection at San Jacopo Hospital, Pistoia
Who cites it
4 citing papers in PubMed.
- External validation and logistic recalibration of POSSUM and P-POSSUM for predicting postoperative morbidity and mortality after elective hepatic resection.BMC surgery · 2026Article
- Surgical treatment of hepatocellular carcinoma: an expert consensus-based practical recommendation from the Korean Liver Cancer Association.Annals of surgical treatment and research · 2025Article
- Surgical treatment of hepatocellular carcinoma: an expert consensus-based practical recommendation from the Korean Liver Cancer Association.Journal of liver cancer · 2025Article
- Management of intrahepatic cholangiocarcinoma: a review for clinicians.Gastroenterology report · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWhether hospital volume affects outcome of patients undergoing hepatobiliary surgery, and whether the centralization of such procedures is justified remains to be investigated. The aim of this study was to analyze the outcome of liver surgery in Italy in relationship of hospital volume.
methodsThis is a nationwide retrospective observational study conducted on data collected by the National Italian Registry "Piano Nazionale Esiti" (PNE) 2023 that included all liver procedures performed in 2022. Outcome measure were case volume and 30-day mortality. Hospitals were classified as very high-volume (H-Vol), intermediate-volume (I-Vol), low-volume (L-Vol) and very low-volume (VL-VoL). A review on centralization process and outcome measures was added.
results6,126 liver resections for liver tumors were performed in 327 hospitals in 2022. The 30-day mortality was 2.2%. There were 14 H-Vol, 19 I-Vol, 31 L-Vol and 263 VL-Vol hospitals with 30-day mortality of 1.7%, 2.2%, 2.6% and 3.6% respectively (P < 0.001); 220 centers (83%) performed less than 10 resections, and 78 (29%) centers only 1 resection in 2022. By considering the geographical macro-areas, the median count of liver resection performed in northern Italy exceeded those in central and southern Italy (57% vs. 23% vs. 20%, respectively).
conclusionsHigh-volume has been confirmed to be associated to better outcome after hepatobiliary surgical procedures. Further studies are required to detail the factors associated with mortality. The centralization process should be redesigned and oversight.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.