Mineral Trioxide Aggregate in Endodontic Treatment for Immature Teeth
Bibliographic record
Abstract
The aim of the present study was to test the hypothesis that the fracture strength of calcium hydroxide and mineral trioxide aggregate (MTA) filled immature teeth decrease over time. Immature mandibular incisors from sheep were extracted and the pulps were extirpated using an apical approach with a barbed broach, and the teeth were divided into three experimental groups. Group 1: Untreated teeth. Group 2: The root canal was filled with calcium hydroxide paste (Ultradent®- UltraCal™ XS™). Group 3: The root canal was filled with ProRoot® MTA system (Dentsply, USA). All specimens were kept in saline with 1% antibiotics at 4 °C for certain periods of time: two weeks, two months and one year. All teeth were tested for fracture strength in an Instron testing machine at the indicated observation periods. The results were subjected to statistical analysis by a one-way analysis of variance and with the t-test at a 5% level of significance. One tooth from each group was selected randomly for the histological study. The mean fracture strengths decreased over time for all the three groups. The fracture strengths were not found significantly different from the untreated, calcium hydroxide-treated or MTA-treated teeth at two-week or two-month (p>0.05). However, the results for MTA-treated teeth were significantly higher than the other two groups at one year (p=0.0137). The teeth with root treatment with MTA showed the highest fracture resistance at one year (p<0.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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".