Evidence map›Paper›PMID 29104942›Full record

ArticleOpen medicine (Warsaw, Poland)2017

Cone Beam Computed Tomography Analysis in 3D Position of Maxillary Denture.

Ying Jia, Hua Yang, Ping Li, Jiangyan Xiong, Bo Chen

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2017. 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

5 authors.

Ying JiaDepartment of Orthodontics, Guizhou Medical University School of Stomatology, Guiyang, China.
Hua YangDepartment of Orthodontics, Guizhou Medical University School of Stomatology, Guiyang, China.
Ping LiDepartment of Orthodontics, Guizhou Medical University School of Stomatology, Guiyang, China.
Jiangyan XiongCollege of Nursing, Guiyang College of Traditional Chinese Medicine, Guiyang, China.
Bo ChenCollege of Acupuncture and Massage, Guiyang College of Traditional Chinese Medicine, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic correlation between teeth and denture morphology as well as the morphological positions needs to be explored. METHODOLOGY: 63 adult patients with skeletal class III malocclusions that met the inclusion criteria were enrolled and imaged with Cone Beam Computed Tomography (CBCT), and Digital Imaging and Communications in Medicine (DICOM) data were collected. The torque angle and axial inclination were measured and analyzed for the corona, root, and entire body of every tooth on the maxilla.

resultsThere is a statistically significant difference between the coronal axial inclination/coronal torque angle for the skeletal class III malocclusion cases and Andrew's six keys of occlusion. On the sagittal plane of the maxillary denture (except that the secondary molar is inclined medial-distally), the remaining teeth are inclined towards the labia with slightly larger angles compared to the normal occlusion. In the coronal direction, the maxillary anterior teeth tend to have a corona that inclines medial-distally, whereas the posterior teeth have a buccal inclination compared to the normal occlusion.

conclusionSagittal and transversal compensations prevail in maxillary dentures; for the camouflaged treatment design for skeletal class III, there is limited scope of sagittal and transversal movements on the maxillary denture.

Indexed as

Axial InclinationCone Beam Computed TomographySkeletal Class III MalocclusionTorque Angle

Identifiers

PMID29104942
PMCPMC5662772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.