ArticleOrphanet journal of rare diseases2026
Total colonic aganglionosis: a bibliometric analysis of trends and themes (1978-2024).
Article in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
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Abstract
backgroundTotal colonic aganglionosis (TCA) is a rare but severe congenital disorder that impacts the colon's ability to function properly due to the absence of ganglion cells. Investigating research trends in the diagnosis and treatment of TCA can offer valuable insights into advancements in clinical practices, surgical techniques, and future directions in pediatric gastroenterology.
methodsLiteratures related TCA were explored through a search in the Web of Science Core Collection (WoSCC) database, spanning the period from 1978 to 2024. Bibliometric analysis and data visualization were conducted using VOSviewer, CiteSpace, and the R package "bibliometrix."
resultsA total of 281 articles were analyzed, accumulating over 4,010 citations. The USA led in productivity, with Paris City University as the top institution, and Journal of Pediatric Surgery emerged as the leading journal. Prem, Puri was identified as the most influential author. Current hotspots included genetic mutations, management, clinical guidelines, diagnosis, and pull-through for TCA. Keywords burst analysis showed emerging interests in "diagnosis" (2020-2024), "management" (2022-2024), and "pull-through" (2022-2024).
conclusionThis study presents a bibliometric analysis of TCA, focusing on emerging research trends, influential publications, and global collaborations. The findings identify key advancements in the understanding and treatment of TCA, providing valuable insights for both clinical and basic research in pediatric gastroenterology. CLINICAL TRIAL NUMBER: Not applicable.
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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.