Evidence map›Paper›PMID 37685381›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Reliability of Cone Beam Computed Tomography in Predicting Implant Treatment Outcomes in Edentulous Patients.

Abdulaziz Alhossan, Yu-Cheng Chang, Tun-Jan Wang, Yu-Bo Wang, Joseph P Fiorellini

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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, top 82% of its field
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, 0 citations in OpenAlex.

  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

5 authors at 3 institutions in 2 countries.

Abdulaziz AlhossanDepartment of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yu-Cheng ChangDepartment of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-1441-1156
Tun-Jan WangDepartment of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-9159-9615
Yu-Bo WangSchool of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA.
Joseph P FiorelliniDepartment of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
University of Pennsylvania · USClemson University · USKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the development of CBCT has been utilized in dentistry, the images of the CBCT can assist the surgeon to evaluate the anatomy carefully. Despite the value of radiology evaluation, implant procedures may require additional consideration rather than only evaluating the anatomical factors. The purpose of this study is to evaluate the predictability of using CBCT alone to plan for implant placement in edentulous patients digitally. CBCT images were analyzed by clinicians, measuring the maxillary and mandibular ridge heights and widths digitally of four predetermined implant sites in the maxillary and two selected implant sites in the mandibular arches of 91 patients planning for implant-supported overdenture. A total of 47 patients out of the 91 had completed implant placement on the edentulous ridge, contributing to 55 upper and/or lower arches (136 dental implants). Both predictabilities are low, implying that CBCT planning for implant placement on the edentulous ridge is not a good index and is insufficient to predict the surgical procedures as a solo method. The findings of this study indicate that digital planning by CBCT is insufficient to serve as an individual tool to predict implant procedures. Further information and evaluation must be considered for implant placement in the edentulous ridge.

Indexed as

CBCTdentalimplantspredictability

Identifiers

PMID37685381
PMCPMC10486987
OpenAlexW4386418093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.