Evidence map›Paper›PMID 39118061›Full record

ArticleBMC veterinary research2024

A forecasting model for suitable dental implantation in canine mandibular premolar region based on finite element analysis.

Ruiyu Liu, Jie Yang, Yiling Zhu, Xiaoxiao Zhou, Qiaolin Zhou, Ting Liang, Huan Wang, Yan Luo, Yue Xie, Haifeng Liu and 7 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

17 authors.

Ruiyu LiuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Jie YangSichuan Institute of Musk Deer Breeding, Chengdu, China.
Yiling ZhuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Xiaoxiao ZhouChengdu Center for Animal Disease Prevention and Control, Chengdu, China.
Qiaolin ZhouCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Ting LiangSichuan Institute of Musk Deer Breeding, Chengdu, China.
Huan WangSichuan Institute of Musk Deer Breeding, Chengdu, China.
Yan LuoCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Yue XieCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Haifeng LiuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Zhijun ZhongCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Guangneng PengCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Hao ZhuangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Shengquan AiNew Ruipeng Pet Healthcare Group, Chengdu, China.
Lingxue JiangChengdu Union Beikang Pet Hospital, Chengdu, China.
Chengli ZhengSichuan Institute of Musk Deer Breeding, Chengdu, China. zcl19861106@163.com.
Ziyao ZhouCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China. zzhou@sicau.edu.cn.

Funding

Natural Science Foundation of Sichuan Province 24NSFSC4365Science and technology program of Sichuan Medical Products Administration 2022010Sichuan College Innovation Training Plan S202210626133
6 · The paper itself

Abstract

In recent years, dental implants have become a trend in the treatment of human patients with missing teeth, which may also be an acceptable method for companion animal dentistry. However, there is a gap challenge in determining appropriate implant sizes for different dog breeds and human. In this study, we utilized skull computed tomography data to create three-dimensional models of the mandibles of dogs in different sizes. Subsequently, implants of various sizes were designed and subjected to biomechanical finite element analysis to determine the optimal implant size. Regression models were developed, exploring the relationship between the average weight of dogs and the size of premolar implants. Our results illustrated that the regression equations for mean body weight (x, kg) and second premolar (PM2), third premolar (PM3), and fourth premolar (PM4) implant length (y, mm) in dogs were: y = 0.2785x + 7.8209, y = 0.2544x + 8.9285, and y = 0.2668x + 10.652, respectively; the premolar implant diameter (mm) y = 0.0454x + 3.3506, which may provide a reference for determine suitable clinical implant sizes for dogs.

Indexed as

BicuspidDental ImplantsFinite Element AnalysisMandibleAnimalsDental ImplantationDogsFemaleForecastingMaleTomography, X-Ray ComputedDental ImplantsCompanion animal dentistryComputed tomographyComputer-aided designDental implantationFinite element analysisImplantPremolar teeth

Identifiers

PMID39118061
PMCPMC11308459

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.