Evidence map›Paper›PMID 41646679›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Differential association of body mass index with hypoglossal nerve stimulation efficacy by pharyngeal collapse pattern in obstructive sleep apnea.

Daniel Vena, Eric J Kezirian, Andrew Wellman, David Kent, Mark D'Agostino, Joao L G C Monteiro, Azarbarzin A, Tom Chen, Ludovico Messineo, Neda Esmaeili and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

12 authors.

Daniel VenaDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0003-1740-8777
Eric J KezirianDepartment of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California.
Andrew WellmanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
David KentDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Mark D'AgostinoSouthern New England Ear, Nose and Throat Group, Middlesex Hospital, Middlesex, Connecticut.
Joao L G C MonteiroDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Azarbarzin ADivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Tom ChenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA.
Ludovico MessineoDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Neda EsmaeiliDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Scott A SandsDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Phillip HuyettDepartment of Otolaryngology, Massachusetts Eye and Ear, Boston, MA.

Funding

Validation of a Phenotype Model to Predict Response to Alternative OSA TreatmentsR01HL102321 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLMAN, DAVID ANDREW · 2011 to 2025
$7.3M
Determination of the site of pharyngeal collapse in Obstructive Sleep Apnea patients from snoring soundsR01HL128658 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLMAN, DAVID ANDREW · 2016 to 2025
$4.3M
A Novel Pharmacological Therapy for Obstructive Sleep ApneaR01HL146697 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SANDS, SCOTT A · 2019 to 2023
$3.4M
Upper airway collapsibility, loop gain and arousal threshold: an integrative therapeutic approach to obstructive sleep apneaR01HL160993 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KEZIRIAN, ERIC JAMES · 2022 to 2025
$2.6M
NHLBI NIH HHS R01 HL102321NHLBI NIH HHS R01 HL128658NHLBI NIH HHS R01 HL146697NHLBI NIH HHS R01 HL160993
6 · The paper itself

Abstract

Background: Hypoglossal nerve stimulation (HGNS) is an established surgical therapy for obstructive sleep apnea (OSA), yet treatment response is variable and appears to be influenced by both body mass index (BMI) and pattern of upper airway collapse. Whether excess body weight differentially affects HGNS efficacy across pharyngeal collapse patterns remains unclear. Methods: We combined data from two independent HGNS cohorts (n=760) to examine whether the association between BMI and HGNS efficacy depends on pharyngeal collapse pattern identified by drug-induced sleep endoscopy. Collapse was categorized as predominantly laterally directed or anteroposterior (AP). Multivariable regression models assessed HGNS efficacy-quantified primarily as percent reduction in apnea-hypopnea index (AHI) on titration polysomnography and secondarily as treatment success (≥50% AHI reduction to <15 events/h)-while testing for effect modification by collapse pattern and adjusting for baseline AHI, partial collapse, surgical center, follow-up sleep study type, and prior or concomitant pharyngeal surgery. Results: Increasing BMI was associated with substantially lower HGNS efficacy among patients with laterally directed collapse, whereas the relationship between BMI and efficacy was attenuated in those with AP collapse. Specifically, each 5 kg/m Conclusions: The influence of BMI on HGNS treatment response differs meaningfully by pharyngeal collapse phenotype. Incorporating collapse pattern into BMI-based eligibility criteria may improve patient selection and optimize HGNS outcomes.

Indexed as

Drug-induced Sleep EndoscopyObstructiveSite of pharyngeal collapseSleep Apnea

Identifiers

PMID41646679
PMCPMC12870634

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.