Evidence map›Paper›PMID 40146691›Full record

ArticlePloS one2025

Nomogram for predicting olfactory disorder in obstructive sleep apnea: A retrospective study based on a multicenter database.

Jiajia Dong, Xiao Yu, Yazhu Liang, Honglei Zhang, Haili Sun, Rui Guo

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Jiajia DongDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiao YuDepartment of Otorhinolaryngology Head and Neck Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Yazhu LiangGraduate School of China Medical University, Shenyang, China.
Honglei ZhangDepartment of Otorhinolaryngology Head and Neck Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Haili SunDepartment of Otolaryngology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Rui GuoDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9267-9211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObstructive sleep apnea (OSA) increases the risk of olfactory disorder (OD), which may serve as an early warning of adverse health consequences. In this study, we aimed to develop and validate a nomogram for early detection of OD in patients with OSA.

methodsWe retrospectively analyzed 125 patients with OSA at Beijing Anzhen Hospital for the development and internal validation of the nomogram. For external validation, 30 patients with OSA were recruited from the Air Force Medical Center. The included participants completed polysomnography (PSG) and the Sniffin' Sticks test. Patients with OSA were divided into two groups: OSA with OD and OSA without OD.

resultsThe nomogram included age, sex, and time spent with oxygen saturation below 90%. The area under the receiver operating characteristic curve of the nomogram was 0.814 (95% confidence interval [CI]: 0.673-0.955) for the internal validation group, and 0.778 (95% CI: 0.601-0.955) for the external validation group. The nomogram exhibited excellent discrimination and calibration, showing substantial benefits in clinical applications.

conclusionThe present nomogram developed based on clinical characteristics and PSG features can serve as a convenient tool for clinicians to detect OD in OSA, aiding in patient stratification and personalized treatment.

Indexed as

NomogramsOlfaction DisordersSleep Apnea, ObstructiveAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedPolysomnographyRetrospective StudiesROC Curve

Identifiers

PMID40146691
PMCPMC11949367

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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.