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Record W4415831659 · doi:10.1016/j.identj.2025.105836

Managing Medication-Related Osteonecrosis Of The Jaw: Post-Extraction Abscess

2025· article· en· W4415831659 on OpenAlexaff
Mark Perry, Sandra Ammonn

Bibliographic record

VenueInternational Dental Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsHuntington Society of CanadaEmmanuel Bible College
Fundersnot available
KeywordsComplicationAbscessDental extractionOsteonecrosis of the jawPhysical examinationIncidence (geometry)Multidisciplinary approachRadiography

Abstract

fetched live from OpenAlex

Introduction Medication-related osteonecrosis of the jaw (MRONJ) is a severe complication associated with antiresorptive and antiangiogenic therapies. It often presents with non-healing extraction sites, exposed bone, and secondary infection, significantly impacting patient quality of life. Early recognition and appropriate management are crucial to prevent disease progression and minimize morbidity. Case description This case involves a female patient who presented with a draining abscess from the site of an extraction that had occurred 12 months earlier. Her medical history revealed long-term use of bisphosphonates for osteoporosis. Clinical examination showed intraoral swelling, mucosal inflammation, and pus discharge. Radiographic imaging confirmed that, indeed, the source was the site of an extraction that had occurred one year earlier. Based on clinical and radiographic findings, a diagnosis of MRONJ was made. The patient was managed with antimicrobial therapy, chlorhexidine rinses, and conservative surgical debridement, leading to symptomatic improvement. Discussion This case highlights the pathophysiology of MRONJ, risk factors, and the challenges in diagnosis and treatment. A multidisciplinary approach involving dentists, oral surgeons, and physicians is essential for optimal patient care. Conclusion/clinical significance Early diagnosis and individualized management strategies can improve patient outcomes in MRONJ. Preventive measures and patient education remain key in reducing the incidence of this condition.

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 score0.114
Threshold uncertainty score0.336

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 head0.008
GPT teacher head0.334
Teacher spread0.326 · 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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