ArticleJournal of gastrointestinal oncology2020
A model for predicting post-liver transplantation recurrence in intrahepatic cholangiocarcinoma recipients.
Article in Journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
- New Insights in the Setting of Transplant Oncology.Medicina (Kaunas, Lithuania) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is important to select appropriate patients for improving the outcomes of liver transplantation for intrahepatic cholangiocarcinoma (iCCA). The objective of this study was to establish a predictive model for the recurrence of iCCA after liver transplantation.
methodsTwenty-one patients who received liver transplantation for iCCA were used to construct a model for predicting recurrence. Predictors of recurrence were tested by a Cox model analysis. The results were validated in 28 patients who were followed up.
resultsDiameter and number of tumors, and CA19-9 level independently predicted tumor recurrence. At a Cox score threshold of 0.736 [95% confidence interval (CI): 0.549-0.923], a model combining these factors was highly predictive of tumor recurrence and death. A simplified version of the model identified a cut-off value of 6. The 5-year OS rate was lower in patients with a score >6 points compared to those with a score ≤6 points (P=0.005). The 5-year recurrence rate was higher in patients with a score >6 points as compared to those with a score ≤6 points (P=0.034).
conclusionsThe model developed was useful for predicting recurrence of iCCA after liver transplantation. Large sample, multicenter studies are needed to validate the findings.
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.