ArticleChinese journal of integrative medicine2021
Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature.
Article in Chinese journal of integrative medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo summarize current hotspots and predict the potential trends in traditional drugs of diabetes treatment for further research.
methodsPublications on the application of traditional drugs in diabetes treatment were searched from PubMed without language limits. Highly frequent MeSH terms were identified through Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Biclustering analysis results were visualized utilizing the gCLUTO software. Finally, a strategic diagram was generated.
resultsTotally 2,386 relevant publications were obtained from PubMed on November 9th, 2018, and 69 highly frequent MeSH terms were identified. Biclustering analysis revealed that these highly frequent MeSH terms were classified into 7 clusters. After calculating the density and centrality of each cluster, strategy diagram was presented. Cluster 0 "Chinese medicine monomers such as antioxidant and hypoglycemic effects" was considered as the most potential research hotspot.
conclusionsIn this study, we found 7 topics related to the application of traditional drugs in diabetes treatment. The molecular mechanisms of Chinese medicine monomers in diabetes could become a potential hotspot with high centricity and low density.
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.