Vertical Tooth Root Fracture Detection through Cone-beam Computed Tomography: An Umbrella Review Protocol Testing Four Hypotheses
Bibliographic record
Abstract
Detecting vertical root fractures represents an immense challenge for oral health professionals. One of the main tools used to detect this type of biological complication is the periapical radiograph. However, conventional radiography consists of two-dimensional imaging that is limited by the superimposition of bony structures that complicate the detection of root fractures. The alternative, a Cone-Beam Computed Tomography (CBCT) scan, cannot be prescribed in every case since radiation should be kept to a minimum as stipulated by the “As Low As Reasonably Achievable” (ALARA) principle. Therefore, to justify the use of a CBCT scan to detect a vertical tooth root fracture, the clinician must prove that it has significant benefits over traditional imaging. Since few systematic reviews have compared CBCT technology to traditional radiography for the diagnosis of vertical root fractures, it is of utmost importance in clinical practice, especially in endodontology and clinical dental medicine, where the available reviews are examined to generate a clinical recommendation. The four hypotheses of this protocol are that(1)CBCT is superior to traditional radiography for detecting vertical root fractures of vital teeth;(2)CBCT is superior to traditional radiography for detecting longitudinal root fractures of vital teeth with radiopaque restorations;(3)CBCT is superior to traditional radiography for detecting vertical root fractures of root-filled teeth without a radiopaque post that may cause artifacts; and(4)CBCT is superior to traditional radiography for detecting vertical root fractures of root-filled teeth with a radiopaque post regardless of its longitude. To test these hypotheses, all the current secondary resources related to the aim of this meta-review are evaluated. If there is sufficient evidence to support clinical decisions, then the appropriate recommendations will be formulated. PROSPERO ID: CRD42018067792
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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 | 0.108 | 0.148 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.041 | 0.008 |
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".