ReviewPolymers2026
Finite Element Analysis in Polymer-Based Adhesive Dental Restorations: A Narrative Review on Material Behavior, Methodological Validity, and Clinical Relevance.
Review in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Cumulative Bisphenol A Release and Elution Kinetics from Pediatric Restorative and Orthodontic Resin-Based Materials: An In Vitro LC-MS/MS Investigation.Children (Basel, Switzerland) · 2026Article
- Finite element analysis in dentistry: a comprehensive narrative review of biomechanical principles, clinical applications, and future perspectives.Frontiers in dental medicine · 2026Review
- Bisphenol A in contemporary dentistry: from material chemistry and exposure pathways to potential clinical relevance-a comprehensive narrative review.Frontiers in dental medicine · 2026Review
- Biomechanical behavior of fiber-reinforced and bulk-fill composites in extensive class II restorations: a three-dimensional finite element analysis.Biomaterial investigations in dentistry · 2026Article
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
Finite element analysis (FEA) is increasingly used in conservative and restorative dentistry to investigate the mechanical behavior of adhesive direct and indirect polymer-based restorations. Despite the growing number of FEA-based studies, the literature currently lacks a dedicated critical synthesis specifically addressing the methodological validity and clinical interpretability of FEA in adhesive restorative dentistry. This narrative review critically examines the current literature on the application of FEA in adhesive restorative dentistry, with particular attention to class I to class V cavities in anterior and posterior teeth restored with direct or indirect polymeric materials, including inlays, onlays, overlays, and tabletop restorations. A structured, non-systematic search of major databases was conducted, and selected studies were qualitatively appraised with emphasis on modeling assumptions, stress distribution, and clinical meaning. Unlike previous broad overviews of dental biomechanics, this review provides a clinically oriented framework for interpreting FEA findings across restorative strategies. FEA consistently identifies trends related to cavity configuration, cuspal support, restoration design, material stiffness, polymerization shrinkage, and adhesive interface behavior, helping to explain clinically observed failure patterns and supporting minimally invasive approaches. However, simplified material models, idealized bonding conditions, and static loading protocols limit prediction of long-term performance. When interpreted within these constraints and integrated with experimental and clinical evidence, FEA remains a valuable complementary tool for rational restorative decision-making.
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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.