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Measurement of clinical wear of two packable composites after 6 months in service

  • J. S. Blalock(corresponding author)
    ,
  • D. C.N. Chan
    ,
  • W. D. Browning
    ,
  • R. Callan
    ,
  • S. Hackman
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Original large-particle composites exhibited poor wear characteristics. With the packable composites, there has been a reintroduction of large particles. The clinical wear characteristics of such packable composites are relatively unknown. The purpose of this study was to compare wear between two types of packable composites: Alert (Jeneric Pentron) and Surefil (Dentsply Caulk). Each material was compared with and without a surface sealant. Fifty-two subjects were included. Subjects had to have two to four eligible teeth, be 21 years of age, in good health and in need of moderate to large class 2 restorations on molars, and/or a two-surface class 1 on molars. Wear was assessed, using the Moffa-Lugassy (ML) scale, by evaluating stone models made from polyvinyl siloxane (PVS) impressions taken at baseline and 6 months. Rating was done by four calibrated examiners using a forced consensus model. The use of a surface sealant with Alert significantly reduced the median wear rate at 6 months compared with that of the SureFil restorations.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 59-63 (5 pages)

Journal (Volume, Issue Number)

Journal of Oral Rehabilitation (Volume 33, Issue 1)

Publication milestones

  • Published - 01/2006

Publication status

Published - 01/2006

ISSN

0305-182X

Publication IDs

  • Scopus: 33645359492
  • PubMed: 16409518

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
0.66
SciVal
Author count
5
SciVal
citations
8
SciVal
Paper percentile
57
Fractional count
2
Fractional count
0.40
Fractional count
3
Fractional count
0.60
Fractional count
2
Fractional count
1

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Citation count
9
Captures
39