ArticleComputational and mathematical methods in medicine2021
Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical Performance of Glass Ionomer Cement in Load-Bearing Restorations: A Systematic Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Pooled it
- Classification and treatment of food impaction.Frontiers in dental medicine · 2025Review
- Food impaction on three-dimensional printed models with periodontal ligament simulation.Oral diseases · 2024Article
- Population Distribution and Patients' Awareness of Food Impaction: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Food Impaction in Dentistry: Revisited.Oral health & preventive dentistry · 2023Review
- ISP good clinical practice recommendations for gum care.Journal of Indian Society of PeriodontologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBased on deep learning, the characteristics of food impaction with tight proximal contacts were studied to guide the subsequent clinical treatment of occlusal adjustment. At the same time, digital model building, software measurement, and statistical correlation analysis were used to explore the cause of tooth impaction and to provide evidence for clinical treatment.
methodsVolunteers with (
resultsThe adjacent line length, adjacent surface area, tongue abduction gap angle, buccal abduction gap angle, and occlusal abduction gap angle all met normal distribution. There were statistically significant differences in adjacent line length (
conclusionAdjacent line length, adjacent surface area, buccal abduction gap angle, and occlusal abduction gap angle are independent factors influencing food impaction.
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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.