Evidence map›Paper›PMID 36431055›Full record

ArticleLife (Basel, Switzerland)2022

Influence of Lingual Tonsillar Volume in Patients with Obstructive Sleep Apnea.

Yung Jee Kang, Byung Kil Kim, Sang Duk Hong, Yong Gi Jung, Gwanghui Ryu, Hyo Yeol Kim

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. 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

6 authors.

Yung Jee KangDepartment of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0003-4062-0717
Byung Kil KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Kyungpook National University of Chilgok Hospital, Hoguk-ro, Buk-gu, Daegu 41404, Republic of Korea.ORCID 0000-0002-5659-3816
Sang Duk HongDepartment of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Yong Gi JungDepartment of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0001-7456-849X
Gwanghui RyuDepartment of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Hyo Yeol KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0002-2162-3202

Funding

Industrial Strategic Technology Development Program (Theme: AI-based navigation system for nasal sinus and skull based surgical robots with improved registration accuracy.) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea) 20016285
6 · The paper itself

Abstract

This study aimed to evaluate the influence of lingual tonsil (LT) volume measured using a three-dimensional (3D) reconstruction volume rendering program on clinical parameters and polysomnography (PSG) results. A total of 100 patients who underwent PSG, computed tomography (CT), and allergy test from April 2016 to April 2020 were randomly selected. LT volume was measured using an imaging software program that enables 3D reconstruction of CT images. PSG parameters were analyzed by dividing the subjects into two groups according to LT volume (each 50 people). Based on the medial volume of 0.863 cm

Indexed as

lingual tonsil volumeobstructive sleep apneapolysomnography

Identifiers

PMID36431055
PMCPMC9693112

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.