ArticleJournal of oral biology and craniofacial research
Comparative evaluation of aesthetic outcome of direct polychromatic composite layering and the "index cut-back technique" for restoring class IV defects using a newly patented simulated 3D printed mould: An in vitro study.
Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The Purpose of This In-Vitro Study Was to Comparatively Evaluate the Aesthetic Outcome Of Direct Polychromatic Layering Of Anterior Composites Restoration With The Methodology: An extracted tooth specimen of maxillary central incisor crown was 3-D scanned for obtaining its dimensions, these dimensions were transferred to Results: There was a significant difference in the values ( Conclusion: The Index Cut-Back Technique showed superior aesthetic outcome restoring Class IV defects, however it requires a planned pre-operative course of action before executing the clinical procedure.
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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.