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Comparator Choice in Studies Testing Endodontic Instrument Fatigue Resistance: A Network Analysis
Sascha Rudolf Herbst1, Joachim Krois1, Falk Schwendicke1
1Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany.
This study analyzed cyclic fatigue resistance (CFR) comparisons in endodontic instruments. Most comparisons were based on instrument use, with some instruments and nickel-titanium alloys dominating the research landscape.
Area of Science:
- Endodontics
- Materials Science
- Biomedical Engineering
Background:
- Cyclic fatigue resistance (CFR) is a critical property for endodontic instruments.
- Comparator selection in CFR studies is not well understood and may influence findings.
- Evolution of instrument comparisons over time needs systematic evaluation.
Purpose of the Study:
- To evaluate the network of cyclic fatigue resistance (CFR) studies in endodontics.
- To identify factors driving the choice of comparator instruments in CFR research.
- To hypothesize that indications and instrument properties influence comparator selection.
Main Methods:
- Systematic review of Medline and Embase databases (1986-2017).
- Inclusion of in vitro studies comparing cyclic fatigue resistance of at least two engine-driven endodontic instruments.
- Classification of instruments by name, alloy, and manufacturer; analysis using social network analysis.
Main Results:
- Eighty-five studies involving 56 instruments, 9 alloys, and 17 manufacturers were analyzed.
- A clustered network with three subnetworks (glide path, shaping, retreatment) was identified.
- ProTaper Universal and Mtwo instruments emerged as central 'hub' nodes; conventional Nickel-Titanium was the dominant alloy.
Conclusions:
- Instrument comparisons in CFR studies are primarily driven by clinical indications.
- Dominance of certain instruments and conventional Nickel-Titanium alloy suggests potential bias.
- Evidence robustness varies; less-tested instruments may have less reliable data; further research into network geometry factors is warranted.
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