2022
DOI: 10.1097/tp.0000000000004224
|View full text |Cite
|
Sign up to set email alerts
|

Four Decades of Clinical Liver Transplantation Research: Results of a Comprehensive Bibliometric Analysis

Abstract: Special ArticleBackground. Nearly 40 y have passed since the 1983 National Institutes of Health Consensus-Development-Conference, which has turned liver transplantation (LT) from a clinical experiment into a routine therapeutic modality. Since‚ clinical LT has changed substantially. We aimed to comprehensively analyze the publication trends in the most-cited top-notch literature in LT science over a 4-decade period. Methods. A total of 106 523 items were identified between January 1981 and May 2021 from the We… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

2
20
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 13 publications
(22 citation statements)
references
References 68 publications
2
20
0
Order By: Relevance
“…MP probably represents the most critical novelty introduced in the LT clinical arena in the last decade. While the results of LTs from standard donors are now excellent, 15 ECDs ‐ and particularly DCDs‐ carry an increased risk of graft‐associated complications, including PNF, EAD, and ischemic cholangiopathy 16 . A reliable liver viability assessment is therefore essential for the further success of this technology.…”
Section: Discussionmentioning
confidence: 99%
“…MP probably represents the most critical novelty introduced in the LT clinical arena in the last decade. While the results of LTs from standard donors are now excellent, 15 ECDs ‐ and particularly DCDs‐ carry an increased risk of graft‐associated complications, including PNF, EAD, and ischemic cholangiopathy 16 . A reliable liver viability assessment is therefore essential for the further success of this technology.…”
Section: Discussionmentioning
confidence: 99%
“…8 Therefore, it is increasingly difficult to distinguish high-quality, impactful research papers from articles of no or low scientific value. 9 Evaluative bibliometrics, using mathematical and statistical methods, and visualization tools to analyze trends in the evolution of a certain scientific field have been applied successfully for the quantitative synthesis of large-scale literature data. 10 Adopting our established methodical approach, 9 we aimed to identify a large data set of the 200 most-cited articles in clinical RT published during the last halfcentury.…”
Section: Introductionmentioning
confidence: 99%
“…9 Evaluative bibliometrics, using mathematical and statistical methods, and visualization tools to analyze trends in the evolution of a certain scientific field have been applied successfully for the quantitative synthesis of large-scale literature data. 10 Adopting our established methodical approach, 9 we aimed to identify a large data set of the 200 most-cited articles in clinical RT published during the last halfcentury. Subsequently, we applied state-of-the-art bibliometric analysis tools to better understand, synthesize, and depict the dynamic patterns of innovation and progress that took place during this time.…”
Section: Introductionmentioning
confidence: 99%
“…Particularly, in times of critical organ shortage and consecutive rise in the use of marginal allografts from extended criteria donors (ECD), an optimal clinical risk assessment and outcome prediction in the setting of OLT is of utmost relevance [5,6]. In this context, various predictive scores have been developed to assess perioperative risk in the setting of OLT over the last decades [7,8]. These include well-established scores such as Balance of Risk (BAR) [9], Survival Outcomes Following liver Transplantation (SOFT) [10], and the Donor Risk Index (DRI) [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Results of the logistic regression were given as odds ratios with 95% confidence interval a According to Olthoff et. al [7]. b Based on the German Medical Chamber Guidelines[6] *Factors showing a p value < 0.1 in the univariable analysis were included in the multivariable logistic regression model…”
mentioning
confidence: 99%