MétaCan
Menu
Back to cohort
Record W4392293375 · doi:10.1080/23772484.2024.2321844

Spontaneous resorption of an infantile mandibular myofibroma case report

2024· article· en· W4392293375 on OpenAlexaff
Jason Azzi, Rajas Tipnis, Olivia Pieroni, Camelia Stefanovici, Darren Leitao

Bibliographic record

VenueActa Oto-Laryngologica Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMandible (arthropod mouthpart)Bone resorptionMedicineDentistryBiologyEndocrinologyZoology

Abstract

fetched live from OpenAlex

Myofibroma of the mandible is a rare, benign neoplasm with current treatment consisting of surgical excision. Various approaches have been reported from enucleation or curettage to segmental mandibulectomy and free tissue transfer techniques. There are no reports in the literature of observation for spontaneous regression. An 11-month-old female was diagnosed with mandibular myofibroma. During workup of the mass, interval imaging demonstrated a decrease in size of the lesion. To avoid an extensive surgical resection, observation and repeat imaging was recommended to the patient’s family. Given ongoing decrease in the size of the lesion and its asymptomatic nature, the patient has continued to be observed clinically and radiographically. This is the first report of mandibular myofibroma managed with observation wherein there seems to have been spontaneous regression of the mass without any intervention.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueActa Oto-Laryngologica Case ReportsSame topicSoft tissue tumor case studiesFrench-language works237,207