ReviewClinics (Sao Paulo, Brazil)2026
In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.
Review in Clinics (Sao Paulo, Brazil), 2026. 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.
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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn-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.
methodsBibliometric 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.
resultsAnnual 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.
conclusionWithin 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.
Indexed as
Identifiers
42874507What 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.