Evidence map›Paper›PMID 38081613›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2023

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H Gan, S Sun, R Tian, F Liu, J Li, X Xie

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

H GanDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
S SunDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
R TianDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
F LiuDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
J LiDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
X XieDepartment of Stomatology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the influence of tooth position and retention depth of the dental pulp cavity on the accuracy of intraoral digital impression of endocrown preparation.

methodsDental pulp cavities with retention depths of 2, 3, 4 and 5 mm were prepared on 8 auatomic resin tooth models, including 4 right maxillary first molar (16) and 4 right mandibular first molar (46).Each cavity were scanned for 10 times using 3shape trios3, with micro-CT scans as the reference.All the scan data were exported, and the reference models were obtained by 3D reconstruction with Mimics 2021 software.Gomagic Wrap 2017 was used to analyze the 3D models.The average absolute deviation values were calculated to evaluate the accuracy of the digital models.

resultsThere was no significant difference in the authenticity and precision between models 16 and 46.The mean maximum positive and negative deviations of the model 16 were less than those of the model 46(

conclusionThe position of teeth has little influence on intraoral digital impression of the endocrown.The retention depth of the dental pulp cavity affects the accuracy of intraoral digital impression of the endocrown, and a greater depth results in a greater deviation.

Indexed as

Computer-Aided DesignImaging, Three-DimensionalModels, DentalMolarSoftwaredigital impressionsendocrownmicro-CTpulp retention form

Identifiers

PMID38081613
PMCPMC10713476

What OpenQuestion holds

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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.