Scientific trends in obstructive sleep apnea biological and clinical assessment indicators: a bibliometric analysis

AIMS: Obstructive sleep apnea (OSA) is characterized by diverse biological and clinical disturbances, yet no study has systematically examined scientific developments related to its objective assessment measures. This study aimed to map the development, research hotspots, and emerging trends related to biological and clinical assessment indicators in OSA. MATERIALS AND METHODS: Publications indexed in the Web of Science Core Collection and Scopus from 2000 to 2025 were reviewed. A total of 1,793 articles were analyzed using VOSviewer, CiteSpace, the R bibliometrix package, and Python. The analysis assessed publication and citation trends, country contributions, keyword co-occurrence, and thematic evolution to map global research patterns in OSA assessment. RESULTS: The number of publications increased steadily over time, reflecting growing research interest in multidimensional assessment approaches. Research themes have evolved from general inflammatory and metabolic markers toward more mechanistic and clinically oriented indicators, including oxidative stress pathways, circulating biomarkers, and cerebrovascular or cognitive related measures. CONCLUSIONS: Current research increasingly emphasizes integrated biological and clinical assessment frameworks for better characterization of OSA. Future studies should focus on validation, methodological standardization, and the integration of multiple assessment domains to facilitate clinical translation.

Authors

Institutions

Publication Details

Journal
Biomarkers in Medicine
Published
2026-05-08
DOI
https://doi.org/10.1080/17520363.2026.2671003
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scientific trends in obstructive sleep apnea biological and clinical assessment indicators: a bibliometric analysis

Shudan Deng, Huiyan Niu, Bo ‍Zhao, Lu Zhai et al.
Biomarkers in Medicine
Obstructive Sleep Apnea Research
article

Scientific trends in obstructive sleep apnea biological and clinical assessment indicators: a bibliometric analysis

Shudan Deng, Huiyan Niu, Bo ‍Zhao, Lu Zhai, X Gao, Yan Li, Haixia Fan, Limantian Wang
article en

Abstract

AIMS: Obstructive sleep apnea (OSA) is characterized by diverse biological and clinical disturbances, yet no study has systematically examined scientific developments related to its objective assessment measures. This study aimed to map the development, research hotspots, and emerging trends related to biological and clinical assessment indicators in OSA. MATERIALS AND METHODS: Publications indexed in the Web of Science Core Collection and Scopus from 2000 to 2025 were reviewed. A total of 1,793 articles were analyzed using VOSviewer, CiteSpace, the R bibliometrix package, and Python. The analysis assessed publication and citation trends, country contributions, keyword co-occurrence, and thematic evolution to map global research patterns in OSA assessment. RESULTS: The number of publications increased steadily over time, reflecting growing research interest in multidimensional assessment approaches. Research themes have evolved from general inflammatory and metabolic markers toward more mechanistic and clinically oriented indicators, including oxidative stress pathways, circulating biomarkers, and cerebrovascular or cognitive related measures. CONCLUSIONS: Current research increasingly emphasizes integrated biological and clinical assessment frameworks for better characterization of OSA. Future studies should focus on validation, methodological standardization, and the integration of multiple assessment domains to facilitate clinical translation.

Biomarkers in Medicine
Shanxi Medical University (CN), First Hospital of Shanxi Medical University (CN), Second Hospital of Shanxi Medical University (CN)
Partnerships for the goals
Openalex Percentile: Top 5%
Obstructive Sleep Apnea Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.