ArticleHNO2025
[Sleep medicine-polygraphic diagnostics in clinical practice : Home sleep tests for obstructive sleep apnea].
Article in HNO, 2025. 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
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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.
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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.
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Authors and funding
1 author.
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Abstract
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder and frequently prompts referral to ENT practices. Following a structured medical history and clinical examination, ambulatory diagnosis is typically performed using cardiorespiratory polygraphy which records key parameters such as the apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and oxygen saturation. Modern devices allow for patient-friendly use and computer-assisted data analysis but still require clinical expertise for accurate review and interpretation of the data. New diagnostic tools such as peripheral arterial tonometry (PAT) and artificial intelligence (AI)-based wearables may play an increasingly important role in the future of OSA diagnostics.
Indexed as
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40900158What 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.