Evidence map›Paper›PMID 37231447›Full record

ArticleBMC oral health2023

New classification for bone type at dental implant sites: a dental computed tomography study.

Shiuan-Hui Wang, Jui-Ting Hsu, Lih-Jyh Fuh, Shin-Lei Peng, Heng-Li Huang, Ming-Tzu Tsai

Abstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Shiuan-Hui WangSchool of Dentistry, China Medical University, Taichung, 404, Taiwan.
Jui-Ting HsuSchool of Dentistry, China Medical University, Taichung, 404, Taiwan. jthsu@mail.cmu.edu.tw.
Lih-Jyh FuhSchool of Dentistry, China Medical University, Taichung, 404, Taiwan.
Shin-Lei PengDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 404, Taiwan.
Heng-Li HuangSchool of Dentistry, China Medical University, Taichung, 404, Taiwan.
Ming-Tzu TsaiDepartment of Biomedical Engineering, Hungkuang University, Taichung, 433, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study proposed a new classification method of bone quantity and quality at the dental implant site using cone-beam computed tomography (CBCT) image analysis, classifying cortical and cancellous bones separately and using CBCT for quantitative analysis.

methodsPreoperative CBCT images were obtained from 128 implant patients (315 sites). First, measure the crestal cortical bone thickness (in mm) and the cancellous bone density [in grayscale values (GV) and bone mineral density (g/cm

resultsThe results of the nine bone type proportions based on the new jawbone classification were as follows: A1 (8.57%,27/315), A2 (13.02%), A3 (4.13%), B1 (17.78%), B2 (20.63%), B3 (8.57%) C1 (4.44%), C2 (14.29%), and C3 (8.57%).

conclusionsThe proposed classification can complement the parts overlooked in previous bone classification methods (bone types A3 and C1).

trial registrationThe retrospective registration of this study was approved by the Institutional Review Board of China Medical University Hospital, No. CMUH 108-REC2-181.

Indexed as

Dental ImplantsBone DensityCone-Beam Computed TomographyHumansJawRetrospective StudiesTomography, X-Ray ComputedDental ImplantsBone classificationCancellous bone densityCortical bone thicknessDental CBCTJawbone

Identifiers

PMID37231447
PMCPMC10214681

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.