Evidence map›Paper›PMID 34380478›Full record

ArticleBMC oral health2021

Association between periodontal status and degree of maxillary sinus mucosal thickening: a retrospective CBCT study.

Tianyi Zhang, Zhengquan He, Huan Tian

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Tianyi ZhangSchool of Stomatology, Shanxi Medical University, 56th Xinjian South Road, Taiyuan, 030001, China.
Zhengquan HeDepartment of Orthodontics, Changsha Stomatological Hospital, Hunan University of Traditional Chinese Medicine, 389th Youyi Road, Changsha, 410004, China.
Huan TianDepartment of Orthodontics, Changsha Stomatological Hospital, Hunan University of Traditional Chinese Medicine, 389th Youyi Road, Changsha, 410004, China. 1061655447@qq.com.
Hunan University of Traditional Chinese Medicine · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that periodontitis can stimulate thickening of the maxillary sinus mucosa, but the association between periodontitis status and the degree of maxillary sinus mucosal thickening (maxMT) has not been reported. The objectives of this study were to investigate the effect of periodontal status of maxillary molars on the degree of maxMT.

methodsRetrospective analysis of cone-beam computed tomographic (CBCT) images of 203 periodontitis cases with maxMT. Parameters related to periodontitis in maxillary molars were measured and recorded on CBCT images. The dimension and length of the maxMT were also recorded. Multiple linear regression analysis was used to identify periodontal factors influencing the severity of maxMT, and multivariate logistic regression analysis was used to identify the odds ratio of these factors.

resultsThe factors affecting the degree of maxMT were mainly the amount of alveolar bone loss (ABL) and the minimum residual alveolar bone height (miniRABH). Compared to mild ABL, severe and moderate ABL were more likely to display severe maxMT. And the lower the miniRABH, the more severe the maxMT.

conclusionsThe severity of periodontal status of maxillary molars can influence the degree of maxMT.

Indexed as

Maxillary SinusSpiral Cone-Beam Computed TomographyCone-Beam Computed TomographyHumansNasal MucosaRetrospective StudiesCone-beam computed tomographyMinimum residual alveolar bone heightMucosal thickeningPeriodontitis

Identifiers

PMID34380478
PMCPMC8359030
OpenAlexW3192121232

What OpenQuestion holds

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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.