Evidence map›Paper›PMID 35462468›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2022

Quantitative analysis of maxillary palatal masticatory mucosa thickness and anatomical morphology of palatal vault in Zhejiang province.

Chenlu Shen, Bicong Gao, Kejia Lyu, Weijia Ye, Hua Yao

Open access · greenAbstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2022. 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
0.1field-weighted citation impact, top 59% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Chenlu Shen1. Department of Stomatology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Bicong Gao1. Department of Stomatology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Kejia Lyu1. Department of Stomatology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Weijia Ye2. Department of Stomatology, Lishui Central Hospital, Lishui 323020, Zhejiang Province, China.
Hua Yao1. Department of Stomatology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
First Affiliated Hospital Zhejiang University · CNLishui Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantitatively analyze the maxillary palatal masticatory mucosa thickness and anatomical morphology of palatal vault in Zhejiang province.

methodsCone beam computed tomography (CBCT) images of 146 adult patients were collected from outpatients in Department of Stomatology, the First Affiliated Hospital, Zhejiang University School of Medicine. The images were reconstructed by adjusting the reference line and analyzed on the sagittal plane of the measured teeth. The thickness of masticatory mucosa from maxillary canine to second molar area was measured at the level of 3, 6, 9, 12 mm from the gingival margin. At the same time, the height and width of the palatal vault were measured, the position of the greater palatal foramen relative to the second molar, and the distance from the greater palatal foramen to the mid-palatal suture and the alveolar crest were determined. Spearman correlation analysis and multiple regression analysis were used to explore the influencing factors of the maxillary masticatory mucosa thickness. One-way analysis of variance and LSD multiple comparisons were used to analyze the difference in palatal mucosal thickness of each tooth position in different age groups. The sample

resultsThe mean palatal masticatory mucosa thickness from maxillary canines, first premolars, second premolars, first molar and second molar areas were (2.94±0.48), (3.28±0.49), (3.43±0.53), (3.01±0.55), (3.49±0.70) mm, respectively. The mucosa thickness of canines, first premolars and second premolars areas showed increasing at first and then decreasing trend. The mucosal thickness of the canines area was greatest at 6 mm from the gingival margin, and the thickness of the first and second premolars areas was greatest at 9 mm from the gingival margin. Premolars are thickest at 9 mm from the gingival margin. The thickness of the mucosa of the first molars area increased with the increase of the distance from the gingival margin, and the thickness of the mucosa of the second molars area was the thinnest at 6 mm, and then increased with the increase of the distance from the gingival margin. The main influencing factors of the mucosal thickness of canines, first premolars and first molars areas were age and palatal vault aspect ratio, the main influencing factor of the mucosal thickness of second premolars area was age, and the main influencing factor of the mucosal thickness of second molars area was palatal vault aspect ratio. There was no significant colinearity among the variables (

conclusionThe most suitable donor site for autologous soft tissue graft may be 3-9 mm from the gingival margin of the first and second premolars area.

Indexed as

Mouth MucosaBicuspidHumansMaxillaPalateAutologous soft tissue graftCone beam computed tomographyPalatal masticatory mucosa thicknessPalatal neurovascular bundlePalatal vault

Identifiers

PMID35462468
PMCPMC9109765
OpenAlexW4220983552

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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.