Effectiveness of various modes of computerized delivery of local anesthesia in primary maxillary molars.
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to compare the effectiveness of infiltration and intrasulcular injection, delivered by a computerized delivery system (CDS), to primary maxillary molars. METHODS: The study population consisted of 178 children (2-14 years old) who received local infiltration (buccal and palatal) or intrasulcular injection to primary maxillary molars with the use of a CDS. Behavior was managed using: (1) behavioral management techniques; (2) N2O inhalation; or (3) sedation. Measured dependent variables included the: (1) child's subjective perception of well-being before and immediately after anesthesia (scale = 0-100); (2) child's pain behavior during anesthesia, as measured by Children's Hospital of Eastern Ontario pain scale (CHEOPS; range = 4-13); and (3) effectiveness of anesthesia during dental treatment. RESULTS: Low stress levels were shown for most children before and immediately after anesthesia (range = 12-23). The CHEOPS rating for pain-distractive behavior associated with palatal and buccal infiltration and intrasulcular anesthesia by CDS was similar (6.0 +/- 1.9, 5.8 +/- 1.7, and 5.9 +/- 1.6, respectively). Children treated under sedation, compared to behavioral management techniques, showed higher CHEOPS scores (P = .004). The effectiveness of anesthesia using a CDS (infiltration and intrasulcular) had a downward trend, but was not significantly different for restoration (91%), pulpotomy and preformed crowns (79%), or extraction (74%; mean = 86%). There was no significant difference between infiltration and intrasulcular effectiveness or for age, gender, or tooth location (primary maxillary first vs second molars). CONCLUSIONS: CDS caused low levels of stress and pain reaction after palatal infiltration equal to that for buccal infiltration. All procedures achieved anesthesia effectiveness (86%), with no differences between primary maxillary first and second molars.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".