Evidence map›Paper›PMID 31159356›Full record

ReviewDentistry journal2019

Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease.

V Thomas Eshraghi, Kyle A Malloy, Mehrnaz Tahmasbi

Abstract readReview
In one paragraph

Review in Dentistry journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The Application of Deep Learning on CBCT in Dentistry.Diagnostics (Basel, Switzerland) · 2023
    Review
  6. Article
  7. 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

3 authors.

V Thomas EshraghiPrivate Practice, Tualatin, OR 97062, USA. eshraghi@portlandimplantdentistry.com.
Kyle A MalloyPrivate Practice, Portland, OR 97266, USA. kmalloy@willamettedental.com.
Mehrnaz TahmasbiDepartment of Diagnostic Sciences, Texas A&M College of Dentistry, Dallas, TX 75246, USA. arashlow@tamhsc.edu.ORCID 0000-0002-9804-9800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this paper was to review the current literature surrounding the use of cone beam computed tomography (CBCT) related to the diagnosis, prognostic determination, and treatment of periodontal diseases. A literature review was completed to identify peer-reviewed articles related to CBCT and periodontics. The results were filtered to pool only articles specific to CBCT and periodontal diagnosis, prognosis, and treatment/outcomes. The articles were reviewed and findings summarized. Author's commentary on technological advances and additional potential uses of CBCT in the field of periodontics were included. There is evidence to suggest that CBCT imaging can be more accurate in diagnosing specific periodontal defects (intrabony and furcation defects), and therefore be helpful in the prognostic determination and treatment planning. However, at this time, CBCT cannot be recommended as the standard of care. It is up to the individual clinician to use one's own judgment as to when the additional information provided by CBCT may be beneficial, while applying the As Low As Reasonably Achievable (ALARA) principle. With continued technological advances in CBCT imaging (higher resolution, reduced imaging artifacts, lower exposure, etc.) the author's believe that CBCT usage will become more prominent in diagnosis and treatment of periodontal diseases.

Indexed as

3D radiographycone beam computed tomography (CBCT)furcationintrabony defectsperiodontal defectsperiodontal diagnosis

Identifiers

PMID31159356
PMCPMC6631177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.