Evidence map›Paper›PMID 38948186›Full record

ArticleImaging science in dentistry2024

Correlation between cone-beam computed tomographic findings and the apnea-hypopnea index in obstructive sleep apnea patients: A cross-sectional study.

Marco Isaac, Dina Mohamed ElBeshlawy, Ahmed Elsobki, Dina Fahim Ahmed, Sarah Mohammed Kenawy

Abstract read
In one paragraph

Article in Imaging science in dentistry, 2024. 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

5 authors.

Marco IsaacDepartment of Oral and Maxillofacial Radiology, Faculty of Oral and Dental Medicine, Delta University for Science and Technology, Gamasa, Egypt.ORCID https://orcid.org/0000-0003-0774-7492
Dina Mohamed ElBeshlawyDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University, Cairo, Egypt.ORCID https://orcid.org/0000-0002-0358-828X
Ahmed ElsobkiDepartment of Oral and Maxillofacial Radiology, Mansoura University, Mansoura, Egypt.ORCID https://orcid.org/0000-0003-2114-7610
Dina Fahim AhmedDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University, Cairo, Egypt.ORCID https://orcid.org/0000-0003-0175-4333
Sarah Mohammed KenawyDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University, Cairo, Egypt.ORCID https://orcid.org/0000-0003-4752-818X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to explore the correlations of cone-beam computed tomographic findings with the apnea-hypopnea index in patients with obstructive sleep apnea. Materials and Methods: Forty patients with obstructive sleep apnea were selected from the ear-nose-throat (ENT) outpatient clinic, Faculty of Medicine, Mansoura University. Cone-beam computed tomography was performed for each patient at the end of both inspiration and expiration. Polysomnography was carried out, and the apnea-hypopnea index was obtained. Linear measurements, including cross-sectional area and the SNA and SNB angles, were obtained. Four oral and maxillofacial radiologists categorized pharyngeal and retropalatal airway morphology and calculated the airway length and volume. Continuous data were tested for normality using the Kolmogorov-Smirnov test and reported as the mean and standard deviation or as the median and range. Categorical data were presented as numbers and percentages, and the significance level was set at Results: The minimal value of the cross-sectional area, SNB angle, and airway morphology at the end of inspiration demonstrated a statistically significant association ( Conclusion: Cone-beam computed tomographic measurements in obstructive sleep apnea patients may be used as a supplement to a novel radiographic classification corresponding to the established clinical apnea-hypopnea index classification.

Indexed as

Airway ObstructionCone-Beam Computed TomographySleep Apnea, Obstructive

Identifiers

PMID38948186
PMCPMC11211029

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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.