Evidence map›Paper›PMID 42051739›Full record

ArticleFrontiers in medicine2026

A perspective on precision medicine in obstructive sleep apnea: from pathophysiological phenotyping to integrated management pathways.

Yan Chen, Si-Si Su, Ya-Ni Liu, Miao Han

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yan ChenDepartment of Otolaryngology-Head and Neck Surgery, Affiliated Hospital of Yan'an University, Yan'an, China.
Si-Si SuDepartment of Otolaryngology-Head and Neck Surgery, Affiliated Hospital of Yan'an University, Yan'an, China.
Ya-Ni LiuDepartment of Medicine, Yan'an Vocational and Technical College, Yan'an, China.
Miao HanDepartment of Otolaryngology-Head and Neck Surgery, Affiliated Hospital of Yan'an University, Yan'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) is a condition defined by complex biological causes and highly varied symptoms. The traditional "one-size-fits-all" treatment approach, which depends on a single measurement like the Apnea-Hypopnea Index (AHI), frequently fails to provide individualized care, leading to poor results and low treatment adherence for many patients. Precision medicine offers a solution by using many different types of data to create detailed patient profiles. This data includes the specific physical causes of a patient's OSA, their unique symptoms and other health conditions, biological markers, and information from ongoing monitoring. This detailed profiling allows doctors to group patients more precisely and match them to targeted treatments, such as procedures to open the airway, medications to stabilize breathing, and personalized lifestyle changes. The goal is to shift OSA care from a focus on standardized devices to plans built around the individual patient. To make this future a reality, the medical field needs standardized tools for patient profiling, strong clinical trials to prove these new methods work, and better teamwork across medical specialties. This coordinated effort is essential to make care for OSA more effective, personalized, and accessible to all who need it.

Indexed as

clinical phenotypingobstructive sleep apneapathophysiological endotypespersonalized treatmentphenotype identificationprecision medicine

Identifiers

PMID42051739
PMCPMC13116003

What OpenQuestion holds

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Registered trials

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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.