Evidence map›Paper›PMID 36755680›Full record

ArticleJournal of clinical and experimental dentistry2023

Accuracy of high definition near infrared transillumination camera in detection of hidden proximal caries.

Amr Edrees, Olfat Hassanein, Omar Shaalan, Asmaa Yassen

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Journal of clinical and experimental dentistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06790485 (In-Vivo Validation of Novel Diagnostic Devices Versus Visual ICDAS-II Criteria in Detection of Early Occlusal Caries), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 17% 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.

NCT06790485 completednot on this mapstarted 2024, after this paper: background citation

In-Vivo Validation of Novel Diagnostic Devices Versus Visual ICDAS-II Criteria in Detection of Early Occlusal Caries

Typeobservational_patient_registrySponsorCairo UniversityRan2024 to 2024Enrolled120ConditionsDental Caries (Diagnosis)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Amr EdreesDoctoral Candidate, Department of Conservative Dentistry, Faculty of Dentistry, Cairo University; Assistant Lecturer, Department of Conservative and Esthetic Dentistry, Faculty of Dentistry, The British University in Egypt.
Olfat HassaneinProfessor, Department of Conservative Dentistry, Faculty of Dentistry, Cairo University.
Omar ShaalanLecturer, Department of Conservative Dentistry, Faculty of Dentistry, Cairo University.
Asmaa YassenProfessor, Department of Conservative Dentistry, Faculty of Dentistry, Cairo University; Department of Conservative and Esthetic Dentistry, Faculty of Dentistry, The British University in Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early caries detection became mandatory in modern dentistry. However, the traditional methods in caries detection had many limitations. Hence,a novel approach based on Near Infrared technology was introduced to overcome such limitations. Material and Methods: Proximal surfaces of 102 posterior teeth from 36 adult participants who fulfilled the eligibility criteria were assessed by two examiners using three diagnostic methods. Teeth were examined visually according to the criteria of the International Caries Detection and Assessment System (ICDAS-II) then examined by bitewing digital radiograph (BW) and near infrared light transillumination (NIRT) camera (Vista Proxi iX HD smart). Inter and intra observer agreements were assessed using Kappa test.Dignostic accuracy parameters and Area Under the ROC curve (AUROC) with 95% confidence interval (95% CI) were evaluated for the different caries assessment methods. Results: The results of inter-observer agreement showed an excellent agreement in the different groups. There was a statistically significant difference in the score distribution between ICDASII and VistaCam modalities ( Conclusions: NIRT based diagnostic modality is a promising method for detection of hidden proximal lesions overcoming the hazards of radiograph.

Identifiers

PMID36755680
PMCPMC9899360
OpenAlexW4313358498

What OpenQuestion holds

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Registered trials

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.