Evidence map›Paper›PMID 36627621›Full record

ArticleBMC oral health2023

Application of computer-aided design and 3D-printed template for accurate bone augmentation in the aesthetic region of anterior teeth.

Xin Liu, Zhou Fang, Jin Feng, Se-Fei Yang, Yi-Peng Ren

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Xin Liu *Department of Oral and Maxillofacial Surgery, Chinese PLA General Hospital, Beijing, 100853, China.
Zhou Fang *Air force medical center of Chinese PLA, Beijing, 100000, China.
Jin FengDepartment of Oral and Maxillofacial Surgery, Chinese PLA General Hospital, Beijing, 100853, China.
Se-Fei YangDepartment of Oral and Maxillofacial Surgery, Chinese PLA General Hospital, Beijing, 100853, China. Yang_sf301@hotmail.com.
Yi-Peng RenDepartment of Oral and Maxillofacial Surgery, Chinese PLA General Hospital, Beijing, 100853, China. yipeng_ren@163.com.

Funding

National Natural Science Foundation of China 81371183Scientific Research Support Funds of PLA General Hospital 2017FC-TSYS-2015
6 · The paper itself

Abstract

purposeTo explore the outcomes of bone augmentation in the aesthetic zone of the anterior teeth using computer-aided design and a 3D-printed template.

methodsTen patients with severe bone defects in the aesthetic zone of anterior teeth were included in the study; CT data were collected before surgery. The design of the osteotomy line in the bone defect area was determined under computer simulation. The position parameters and osteotomy line of the free bone were determined via virtual surgery. A 3D-printed template was prepared to guide the accurate placement of the bone graft. Reexamination was conducted to evaluate the position of the bone graft immediately after the operation and the resorbed capacity of the bone graft before implant restoration.

resultsThe position of the bone graft was consistent with the preoperative design. The amount of bone graft resorbed was within the acceptable range three months after the operation, and the effect of implant restoration was satisfactory. CLINICAL SIGNIFICANCE: Use of computer-aided design and a 3D-printed template can be an effective approach for accurate bone augmentation in the aesthetic zone of the anterior teeth.

Indexed as

Computer-Aided DesignEsthetics, DentalPrinting, Three-DimensionalComputer SimulationHumansOsteotomyAesthetic zoneBone augmentationImplant restorationVirtual surgery

Identifiers

PMID36627621
PMCPMC9832653

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.