ArticleFrontiers in microbiology2024
Mapping the relationship between alcohol use disorder and gut microbiota: a 20-year bibliometric study.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Fecal microbiota transplantation ameliorates alcohol-associated liver disease through coordinated restoration of short-chain fatty acid andFrontiers in microbiology · 2026Article
- Alcohol exposure alters the diversity and composition of oral microbiome.Frontiers in cellular and infection microbiology · 2025Article
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
Background: Alcohol use disorder (AUD) is a psychiatric disorder that is widespread worldwide. Alcohol use is a significant contributor to the global burden of death, disability and disease. Modulation of the gut microbiota is a promising approach to improve the efficacy and minimize the adverse effects of colorectal cancer treatment. The relationship between the presence of microbes and AUD has been widely validated. However, few studies have examined this relationship using bibliometric methods. Therefore, this study analyzes the research hotspots and trends in human gut microbiology and AUD over the last two decades from a bibliometric perspective. This study aims at provide new directions for basic and clinical research in this field. Objective: A comprehensive discussion of the relationship between the current state of research and trends in AUD and intestinal flora. Methods: We collected publications from the Web of Science Core Collection database from 2003 to 2023 according to established inclusion criteria. We analyzed countries, institutions, authors, and research contributions using CiteSpace, VOSviewer, and Scimago Graphics to visualize research trends in the field. Results: A total of 2,102 publications were obtained, with a rapid increase in the number of publications since 2016. The United States and China are major contributors to the field and have established a network of partners in several countries. Five hundred ninety-five academic journals published articles on the topic. The author with the highest number of publications is Prof. Bernd Schnabl of the Department of Gastroenterology at the University of California, San Diego. In addition to "gut flora" and "AUD," high frequency words in the keyword co-occurrence network analysis included alcoholic liver disease, tryptophan metabolism, enterohepatic axis, and fecal microbial transplantation. Conclusion: The results of this study provide a bibliometric analysis and visualization of key research areas in the gut microbiota and AUD over the past 20 years. The results suggest that the role of the gut microbiota in AUD and its potential mechanisms, especially therapeutic targets, should be closely monitored and could become a hot topic in the field.
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.