Evidence map›Paper›PMID 40837666›Full record

SynthesisAfrican health sciences2025

Meta-analysis of the effect of static computer-assisted dental implantation on the accuracy of dental implantation in esthetic area.

Zhongping Yin, Huifang Kuang, Li Li, Xi Si

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in African health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zhongping YinCenter of Stomatology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
Huifang KuangDepartment of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China.
Li LiDepartment of Nephrology, Geriatric Hospital of Hainan, Haikou, China.
Xi SiSchool of Stomatology, Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This system evaluates the effect of static navigation systems on accuracy (platform, apical and angular deviation) in clinical studies of implant surgery in the anterior aesthetic zone to inform clinical decision-making. Methodology: Retrieve Pubmed, Embase, Cochrane library databases, as well as randomized controlled trials (RCT) and controlled clinical trials (CCT) comparing dynamic navigation and static guidance published by the US Clinical Trial Registry before May 1, 2023. The outcome indicators included in the study include measuring the deviation between the preoperative design of the implant and the actual site at the top, apex, and angle. The calculation of meta-analysis was performed using Review Manager version 5.2 software. Results: 1134 articles were screened and retrieved, and finally 4 studies were included for quantitative analysis. Meta analysis results showed that the two groups had lower depth angle deviation (WMD=-0.30, 95%CI: (0.24, 1.78), P=0.01) at the top (WMD=0.14, 95% CI: (-0.26, 0.55), P=0.49) and root tip (WMD=0.25, 95%CI: (-0.34, 0.84), P=0.41) compared to the static guide plate group, and the difference was statistically significant. Conclusion: The static guide plate provides a small implant placement error, which is comparable to the error obtained using dynamic navigation systems, but dynamic navigation exhibits a smaller angle deviation.

Indexed as

Dental ImplantationDental Implantation, EndosseousDental ImplantsEsthetics, DentalSurgery, Computer-AssistedHumansDental ImplantsAnterior teeth aesthetic districtDynamic navigationImplantMeta-analysisStatic guide plate

Identifiers

PMID40837666
PMCPMC12361951

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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.