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Record W3099310510 · doi:10.7759/cureus.11376

Burning Mouth Syndrome Induced by Angiotensin-Converting Enzyme Inhibitors

2020· article· en· W3099310510 on OpenAlexaff
Takafumi Obara, Hiromichi Naito, Tsuyoshi Nojima, Hitoshi Koga, Atsunori Nakao

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineCaptoprilEmergency departmentTongueAngiotensin-converting enzymeACE inhibitorBurning SensationOral mucosaBurning mouth syndromeDysgeusiaToothachePathophysiologyPathogenesisInternal medicineDermatologyDentistryPathologyPsychiatryAdverse effectBlood pressure

Abstract

fetched live from OpenAlex

Burning mouth syndrome (BMS) is characterized as the sensation of burning in the tongue or any other area of the oral mucosa without a medical or dental cause. BMS's pathophysiology is poorly understood and may be caused by its association with various factors, particularly with antihypertensive or psychotropic medicines. Although BMS is a relatively common intraoral disorder in the dental field, emergency physicians rarely recognize it. We report a 53-year-old Japanese woman who presented to our ED with a three-week history of a strange taste and burning tongue. The patient had poor control of hypertension, captopril, an angiotensin-converting enzyme (ACE) inhibitor, was added three weeks before presentation. We discontinued her ACE inhibitor and changed her medication to a beta-blocker. After two weeks, her symptoms improved. Emergency physicians must be aware that ACE inhibitors play some roles in the pathogenesis of BMS. The correct diagnosis of the condition depends on recognizing the disease and improving the quality of life.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.555

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 head0.029
GPT teacher head0.249
Teacher spread0.220 · 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 designBench or experimental
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

Citations15
Published2020
Admission routes1
Has abstractyes

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