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Record W4415832251 · doi:10.1016/j.identj.2025.104889

Minimally Intervention Treatment For Root Fracture With Pulp Exposure

2025· article· en· W4415832251 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Dental Journal · 2025
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPulpotomyPulp (tooth)Tooth FractureEndodontic therapyRadiographyDental traumaMaxillary central incisorPulp necrosis

Abstract

fetched live from OpenAlex

This case report describes a minimal intervention treatment for root fracture with pulp exposure due to a complicated crown-root fracture in a young permanent incisor. An 11-year-old girl presented to the Hospital of Stomatology having suffered an injury to her maxillary right central incisor (tooth #11) 4h. A clinical examination revealed a complicated crown-root fracture with grade I∼II mobility. Electric pulp testing and cold testing revealed a positive response. Radiographic examinations revealed a horizontal the apical one-third fracture. Tooth#11 was treated by partial pulpotomy using iRoot BP Plus (Innovative Bioceramix Inc, Vancouver, Canada) and fragment reattachment. At the 24-month follow-up after treatment, tooth #11 was still vital and functional without clinical and radiographic signs and symptoms. There are limited reports on the treatment of multiple combined tooth fractures which often result in worse outcomes. However, the apparent success was presented in this case by pulpotomy and fragment reattachment. Minimal intervention treatment repaired biological tissues and reduced the risk of pulp infection, thereby creating favorable conditions for root fracture healing. It provides an alternative and effective solution to expensive and complex endodontic and restorative treatments for root fracture with pulp exposure. Minimal intervention treatment with partial pulpotomy and fragment reattachment can be a viable treatment option for root fracture combined with pulp exposure.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.318
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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