Evidence mapPaperPMID 36923968Full record

ReviewNature and science of sleep2023

New Metrics from Polysomnography: Precision Medicine for OSA Interventions.

Junwei Guo, Yi Xiao

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Nature and science of sleep, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06949969 (Alesis OSA-1 Double-Blinded Randomized Study of Obstructive Sleep Apnea Treatment Using A Patented Noncoherent Medical Light), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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.

NCT06949969 nacompletednot on this mapstarted 2025, after this paper: background citation

Alesis OSA-1 Double-Blinded Randomized Study of Obstructive Sleep Apnea Treatment Using A Patented Noncoherent Medical Light

TypeinterventionalSponsorPhotonica USA, LLCRan2025 to 2025Enrolled35ConditionsObstructive Sleep ApneaArmsOSA LLLT treatment device, Sham Comparator
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Approach the Patient With Obstructive Sleep Apnea and Obesity.The Journal of clinical endocrinology and metabolism · 2024
    Article
  12. Article
  13. Article
  14. Article
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

2 authors at 2 institutions in 1 country.

Junwei GuoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Yi XiaoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) is a highly preventable disease accompanied by multiple comorbid conditions. Despite the well-established cardiovascular and neurocognitive sequelae with OSA, the optimal metric for assessing the OSA severity and response to therapy remains controversial. Although overnight polysomnography (PSG) is the golden standard for OSA diagnosis, the abundant information is not fully exploited. With the development of deep learning and the era of big data, new metrics derived from PSG have been validated in some OSA consequences and personalized treatment. In this review, these metrics are introduced based on the pathophysiological mechanisms of OSA and new technologies. Emphasis is laid on the advantages and the prognostic value against apnea-hypopnea index. New classification criteria should be established based on these metrics and other clinical characters for precision medicine.

Indexed as

metricsobstructive sleep apneapolysomnographyprecision medicine

Identifiers

PMID36923968
PMCPMC10010122
OpenAlexW4323671211

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.