Evidence mapPaperPMID 42558249Full record

SynthesisFrontiers in endocrinology2026

Metabolic dysfunction, antidiabetic drugs, and asthma: bibliometric evidence, emerging trends, and translational frontiers from 2006 to 2025.

Rong Jiang, Jie Wang, Siping Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rong JiangDepartment of Nursing, Yantaishan Hospital, Yantai, Shandong, China.
Jie WangDepartment of Trauma Surgery I, Yantaishan Hospital, Yantai, Shandong, China.
Siping WangDepartment of Gastroenterology I, Yantaishan Hospital, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association among metabolic dysfunction, antidiabetic drugs, and asthma has attracted increasing attention in recent years. However, the knowledge structure, dominant metabolic mechanisms, drug-related research hotspots, and clinical translational evidence in this interdisciplinary field remain insufficiently characterized. Methods: This study conducted a bibliometric evidence-mapping and visualization analysis of research linking metabolic dysfunction, antidiabetic drugs, and asthma published between 2006 and 2025. Data were obtained from the Web of Science Core Collection, Scopus, and PubMed. Bibliometric and visualization methods were used to identify global research trends, major knowledge domains, thematic evolution, and emerging translational frontiers. Results: A total of 1, 502 records from the Web of Science Core Collection, 6, 710 records from Scopus, and 38 PubMed-indexed clinical studies were included. Publication output showed an overall upward trend, with a marked increase in research attention after 2015. Keyword and clustering analyses indicated that obesity, insulin resistance, metabolic syndrome, inflammation, oxidative stress, adipokines, lung function, and airway hyperresponsiveness formed the dominant knowledge base of this field. In contrast, drug-related topics, including metformin, peroxisome proliferator-activated receptor γ agonists, glucagon-like peptide-1 receptor agonists, sodium-glucose cotransporter 2 inhibitors, and dipeptidyl peptidase-4 inhibitors, gradually entered the research network but generally showed relatively limited centrality and uneven clinical evidence. Reference co-citation and burst analyses further suggested that recent research frontiers are shifting toward drug-related mechanisms, asthma exacerbations, and clinical outcome evaluation. Conclusion: Research in this field has evolved from early studies of metabolic comorbidity and inflammatory mechanisms toward drug-related mechanisms, asthma outcomes, and translational evidence. The dominant knowledge base is centered on obesity, insulin resistance, metabolic inflammation, oxidative stress, and airway dysfunction, whereas drug-specific evidence remains emerging and uneven across drug classes. Future studies should integrate large-scale clinical data, prospective cohorts, and randomized controlled trials to clarify whether selected antidiabetic drugs may modify asthma outcomes in metabolically defined asthma phenotypes. This study provides an evidence-mapping perspective for understanding the metabolic, pharmacological, and clinical translational links among metabolic dysfunction, antidiabetic drugs, and asthma.

Indexed as

AsthmaBibliometricsHypoglycemic AgentsMetabolic DiseasesTranslational Research, BiomedicalAnimalsHumansHypoglycemic Agentsantidiabetic drugsasthmabibliometric analysisinsulin resistancemetabolic inflammationobesity

Identifiers

PMID42558249
PMCPMC13437389

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.