Potential systematic error in laboratory experiments on microbial leakage through filled root canals: review of

D-K Rechenberg1, G De-Deus, M Zehnder

  • 1Department of Preventive Dentistry, Periodontology and Cariology, University of Zürich Center of Dental Medicine, Zürich.

Abstract

Insights

Most studies on microbial leakage in filled root canals used inadequate controls, failing to isolate leakage through the canal itself. Further research is needed to properly assess microbial leakage routes in two-chamber models.

Area of Science:

  • Endodontics
  • Microbiology
  • Dental Materials Science

Background:

  • Microbial leakage through filled root canals is a significant concern in endodontic treatment.
  • Two-chamber systems are commonly used to study this leakage.
  • Proper experimental controls are crucial for valid results.

Purpose of the Study:

  • To systematically evaluate the adequacy of controls in published studies on microbial leakage through filled root canals.
  • To specifically investigate how studies controlled for leakage occurring through routes other than the root canal.

Main Methods:

  • A systematic literature search was performed across major scientific databases (Medline, Biosis, Cochrane, Embase, Web of Science).
  • Reference lists of relevant review articles were also searched.
  • Two independent reviewers screened titles and abstracts, with a third reviewer arbitrating disagreements. Full-text articles were evaluated.

Main Results:

  • 67 articles were included in the review.
  • The majority of studies (57/67) employed inadequate negative controls.
  • Inadequate controls often involved leaving the root tip uncovered in experimental groups while sealing the entire root, thus not controlling for leakage along the outer root surface.

Conclusions:

  • Published studies on microbial leakage in two-chamber models frequently lack proper controls.
  • The common methodology does not adequately isolate leakage through the root canal.
  • Experimental investigations are recommended to accurately assess microbial leakage routes in these models.

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