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Peer-reviewedCC BYClinics (Sao Paulo, Brazil)

In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.

4 affiliations
  1. 1The First Affiliated Hospital of Shihezi University, Xinjiang, China. Electronic address: [email protected].
  2. 2Shihezi University School of Medicine, Xinjiang, China.
  3. 3The First Affiliated Hospital of Shihezi University, Xinjiang, China.
  4. 4Gansu Provincial Hospital, Gansu, China.

Abstract

Background

In-laboratory attended Polysomnography (PSG) is the reference standard for objective sleep assessment. Although portable and wearable sleep technologies have advanced, the evolution of PSG research over the past decade has not been systematically characterized.Methods

Bibliometric data from the Web of Science Core Collection (2015-2025) were retrieved using a search strategy focused on in-laboratory, full-night PSG studies, yielding 462 publications for analysis. VOSviewer, CiteSpace, and Microsoft Excel were used to conduct visual and quantitative analyses of publication trends, country- and institution-level co-authorship, journal distribution, author keywords, and keywords bursts.Results

Annual publications exhibited a steady increase, with the United States and China as the leading contributors. Prominent institutions included Eindhoven University of Technology and Seoul National University. PSG research was predominantly published in specialized sleep medicine journals. Keyword analysis revealed a stable thematic core encompassing sleep monitoring, sleep staging, and sleep apnea, alongside emerging trends in machine learning, wearable devices, and brain modeling.Conclusion

Within the corpus of included in-laboratory PSG studies, research outputs demonstrated a sustained trajectory, exhibiting a pattern of parallel development between clinical applications and technical refinement. While PSG remains a foundational methodological pillar in this specific domain, its evolving integration with advanced computational methods underscores a continued commitment to bridging clinical relevance and technological progress within PSG-focused research.

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BibTeX
@article{liu2026inlaboratory,
  title = {{In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.}},
  author = {Panpan Liu and Mingzhu He and Wenlong Xing and Guiqing Zhang and Shangli Zhang},
  journal = {Clinics (Sao Paulo, Brazil)},
  year = {2026},
  month = oct,
  doi = {10.1016/j.clinsp.2026.101157},
  url = {https://europepmc.org/article/MED/42874507},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.
AU  - Panpan Liu
AU  - Mingzhu He
AU  - Wenlong Xing
AU  - Guiqing Zhang
AU  - Shangli Zhang
PY  - 2026
DA  - 2026/10/14
JO  - Clinics (Sao Paulo, Brazil)
DO  - 10.1016/j.clinsp.2026.101157
UR  - https://europepmc.org/article/MED/42874507
AB  - Background  In-laboratory attended Polysomnography (PSG) is the reference standard for objective sleep assessment. Although portable and wearable sleep technologies have advanced, the evolution of PSG research over the past decade has not been systematically characterized.Methods  Bibliometric data from the Web of Science Core Collection (2015-2025) were retrieved using a search strategy focused on in-laboratory, full-night PSG studies, yielding 462 publications for analysis. VOSviewer, CiteSpace, and Microsoft Excel were used to conduct visual and quantitative analyses of publication trends, country- and institution-level co-authorship, journal distribution, author keywords, and keywords bursts.Results  Annual publications exhibited a steady increase, with the United States and China as the leading contributors. Prominent institutions included Eindhoven University of Technology and Seoul National University. PSG research was predominantly published in specialized sleep medicine journals. Keyword analysis revealed a stable thematic core encompassing sleep monitoring, sleep staging, and sleep apnea, alongside emerging trends in machine learning, wearable devices, and brain modeling.Conclusion  Within the corpus of included in-laboratory PSG studies, research outputs demonstrated a sustained trajectory, exhibiting a pattern of parallel development between clinical applications and technical refinement. While PSG remains a foundational methodological pillar in this specific domain, its evolving integration with advanced computational methods underscores a continued commitment to bridging clinical relevance and technological progress within PSG-focused research.
SN  - 1807-5932
SN  - 1980-5322
ER  -