Evidence map›Paper›PMID 39372530›Full record

ArticleInternational journal of clinical pediatric dentistry2024

Quantification of Color Variation of Various Esthetic Restorative Materials in Pediatric Dentistry.

Pranshu Varshney, Saima Y Khan, Mahendra K Jindal, Yasser Azim, Aditi Bhardwaj, Vinod Kumar

Abstract read
In one paragraph

Article in International journal of clinical pediatric dentistry, 2024. 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

6 authors.

Pranshu VarshneyDepartment of Pediatric and Preventive Dentistry, Dr Ziauddin Ahmad Dental College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-2731-8735
Saima Y KhanDepartment of Pediatric and Preventive Dentistry, Dr Ziauddin Ahmad Dental College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.ORCID https://orcid.org/0000-0001-7994-8838
Mahendra K JindalDepartment of Pediatric and Preventive Dentistry, Dr Ziauddin Ahmad Dental College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.ORCID https://orcid.org/0000-0003-0111-5486
Yasser AzimDepartment of Applied Chemistry, Zakir Hussain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-3978-9171
Aditi BhardwajDepartment of Production and Industrial Engineering, Delhi Technological University, New Delhi, India.ORCID https://orcid.org/0009-0001-8230-5750
Vinod KumarDepartment of Computer Science Engineering, Delhi Technological University, New Delhi, India.ORCID https://orcid.org/0000-0002-8405-3470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim of study: The goal of this paper is to find an association between the staining capacity of dental restorations used in pediatric patients and food items and to develop an optimum model to predict the most informative factor that causes the highest amount of color change through machine learning algorithms. Background: Color changes in restorative materials occur as a result of intrinsic and extrinsic factors, such as the type of restorative material, food items used, polished status of the material, and time interval. Materials and methods: This was an " Results: The various beverages caused significant color variation due to different pigmentation agents. The agent that caused the highest color change was Kool Café. The Kesar Milk had the lowest pigmentation capacity. The greatest color variation was found on Glasionomer FX-II submerged in Pepsi and the least on Ivoclar Te-Econom Plus in Kesar Milk. The mean absolute error for the training dataset in the CART model and CHAID model is 0.379 and 0.332, and for the testing data set, it is 0.398 and 0.333, respectively. Therefore, the prediction of color change by the CHAID model is optimum, and we found that the restorative materials have a maximum predictor importance of 0.86 (86%), time interval 0.07 (7%), food items 0.04 (4%), and polished status has the least importance, that is, 0.03 (3%). Conclusion: The staining capacity of restorative material highly depends on the material itself, the initial time interval, and least on the food items used. Clinical significance: The clinical performance of dental restorations could be affected by various beverages consumed by children. This study thus provides important clinical insights into esthetic dentistry by offering valuable information on long-term color stability and the effect of polishing on common esthetic restorative materials used in pediatric dentistry. How to cite this article: Varshney P, Khan SY, Jindal MK,

Indexed as

Chi-square automatic interaction detectorClassification and regression treeColor changeEsthetic restorationsMachine learning

Identifiers

PMID39372530
PMCPMC11451913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.