Evidence map›Paper›PMID 40757027›Full record

ArticleFrontiers in neurology2025

A new objective titration procedure using Remotely Contactless Intelligent Sleep Monitoring System for the treatment of mandibular advancement device in OSAHS patient.

Huijia Lei, Sixiang Zhu, Jing Yang, Youqing Lai, Zijing Wang

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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

5 authors.

Huijia LeiDepartment of Otorhinolaryngology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Sixiang ZhuDepartment of Otorhinolaryngology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Jing YangDepartment of Otorhinolaryngology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Youqing LaiDepartment of Otorhinolaryngology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Zijing WangDepartment of Otorhinolaryngology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The key to treating Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) by mandibular advancement device (MAD) lies in determining the optimal mandibular advancement, but current subjective titration methods are time-consuming and have poor compliance. Therefore, this study proposes an objective titration scheme based on a Remotely Contactless Intelligent Sleep Monitoring System (RCISMS) to optimize the MAD titration process, improve treatment efficiency, and enhance patient comfort. Methods: This study enrolled 60 OSAHS patients, randomly divided into a RCISMS-guided titration group ( Results: Both RCISMS-guided and subjective titration significantly reduced AHI (by 73.7 and 69.0%, respectively), with no significant difference in final AHI levels between the two groups ( Conclusion: The RCISMS-guided MAD titration scheme can achieve the same therapeutic effect as traditional subjective titration methods in a shorter time, while reducing the number of patient visits, improving treatment convenience and compliance, and demonstrating significant potential for clinical application.

Indexed as

compliancemandibular advancement deviceObstructive Sleep Apnea-Hypopnea Syndrome (OSAHS)Remotely Intelligent Sleep Monitoring Systemtitration cycle

Identifiers

PMID40757027
PMCPMC12314197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.