In vitro antimicrobial efficiency of different root canal sealers against Enterecoccus faecalis
Bibliographic record
Abstract
Abstract Objective: The antibacterial effectiveness of four different sealers AH Plus, EndoRez, mineral trioxide aggregate (MTA) Fillapex, iRoot SP against Enterococcus faecalis was evaluated by time kill assay method in vitro. Materials and Methods: Four sealers are used in this study: An epoxy resin-based sealer, AH Plus (Dentsply, Maillefer, Switzerland), a polymethacrylate resin-based sealer, EndoRez (Ultradent, South Jordan, UT) and two calcium silicate-based sealers, MTA Fillapex (Angelus Solucxoes Odontologicas, Londrina, Brazil), iRoot SP (Innovative BioCreamix Inc., Vancouver, Canada). Each sealer was mixed according to manufacturer′s instructions. Five mg of each sealer was added to sterile tubes separately and evaluated at 20 min, 24 h, 7 days, and 30 days. Two tubes were used as positive and negative. Results: At the 20th min AH Plus and iRoot SP were bactericidal, MTA Fillapex, and EndoRez were ineffective at the 20th min. At the 1st day MTA Fillapex was ineffective and rest of the sealers was bacteriostatic. At the 7th day, only MTA Fillapex showed bactericidal effect, AH Plus, iRoot SP and EndoRez were bacteriostatic. At the 30th day, MTA Fillapex was still bactericidal, AH Plus, iRoot SP, and EndoRez were still bacteriostatic. Conclusion: All root canal sealers tested were effective against E. faecalis. Fresh iRoot SP and fresh AH Plus had bactericidal action against E. faecalis. EndoRez has bacteriostatic behavior against E. faecalis. MTA Fillapex was the only sealer that could be bacteriocidal at 7th and 30th day.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".