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Record W3123852589 · doi:10.1177/0145561320987641

Oral Losartan After Limited Mandibulectomy for Treatment of Desmoid-Type Fibromatosis

2021· article· en· W3123852589 on OpenAlexaff
Dennis Curry, Ahmed Alsayed, Jonathan Trites, Margaret Wheelock, Philip D. Acott, Craig Midgen, Liane B. Johnson, Michael Bezuhly

Bibliographic record

VenueEar Nose & Throat Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineFibromatosisAggressive fibromatosisLosartanImmunohistochemistryAsymptomaticSurgeryLesionPopulationAngiotensin IIUrologyRadiologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

Desmoid-type fibromatosis (DF) is a rare soft tissue lesion with an annual incidence of 2 to 4 per million population and peak incidence occurring at approximately 4.5 years of age. While benign, the tumor has a locally aggressive infiltrative growth pattern and a high rate of recurrence. Given the functional and aesthetic implications of excision and reconstruction in the facial skeleton, novel medical treatment options are highly desirable. We describe the case of a 3-year-old boy who presented with an enlarging, asymptomatic mass involving the left mandible. Biopsy revealed an immunohistochemical profile consistent with DF. Despite the high likelihood of recurrence, conservative, mandible-sparing en bloc resection and limited mandibulectomy were performed. Pathological and immunohistochemical analysis of the resection specimen revealed DF with grossly positive margins and elevated expression of angiotensin II type 1 receptor. Postoperative medical treatment with the angiotensin receptor blocker losartan was initiated. The patient remains medically stable and disease progression-free on repeat imaging at 20 months post-resection. We describe for the first time the successful use of the angiotensin blocker losartan following conservative surgery for management of DF.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.043
GPT teacher head0.329
Teacher spread0.286 · 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.

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

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

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