Evidence map›Paper›PMID 28318391›Full record

ReviewJournal of dental research2017

Models of Caries Formation around Dental Composite Restorations.

J L Ferracane

Abstract readReview
In one paragraph

Review in Journal of dental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

  1. Trial
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  15. Journal of conservative dentistry and endodontics · 2025
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

J L Ferracane1 Division of Biomaterials and Biomechanics, Department of Restorative Dentistry, Oregon Health & Science University, Portland, OR, USA.

Funding

Effect of Bacteria and Mechanical Loading on Degradation of the Composite-Tooth IR01DE021372 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI FERRACANE, JACK L. · 2010 to 2013
$2.0M
NIDCR NIH HHS R01 DE021372
6 · The paper itself

Abstract

The main reason cited for the replacement of dental composite restorations is the recurrence of caries. Numerous models-both in vitro, with acid gels or bacterial biofilms, and in situ, with dental appliances-have been used to study caries formation around dental composites. The literature shows that many factors may affect caries formation, including marginal gap formation, gap size, the local chemical environment, the durability of the bonded interface, the extent of bacterial penetration, and the presence of mechanical loading. Studies have also shown that what have been called wall lesions may form independent of surface lesions, though not likely due to microleakage through very small gap spaces in the clinical situation. Gap size and mechanical loading have been shown to be related to lesion severity within in vitro models, but these results do not correspond exactly with those obtained from in situ studies using restorations in dental appliances. Though not conclusive, some in vitro models have shown that certain materials possessing antimicrobial characteristics may reduce the severity of lesion formation, suggesting possible pathways for developing new composite and adhesive materials for restorations with potentially enhanced longevity.

Indexed as

Composite ResinsDental Restoration, PermanentDental CariesDental LeakageDental Marginal AdaptationHumansModels, TheoreticalRecurrenceRisk FactorsStress, MechanicalComposite Resinsantimicrobial agentscomposite resinsdental cariesdental leakagedental restorationsmechanical stress

Identifiers

PMID28318391
PMCPMC5384487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.