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Record W4392455814 · doi:10.4081/ltj.2024.386

Low-level laser therapy as an adjuvant in the treatment of erythema multiforme of the oral mucosa: a case report

2024· article· en· W4392455814 on OpenAlexaff
Thayná Melo de Lima Morais, Sara Maria Santos Dias da Silva, Felipe da Silva Peralta, Dárcio Kitakawa, Marcelo Saito Nogueira, Luis Felipe das Chagas e Silva de Carvalho

Bibliographic record

VenueLASER THERAPY · 2024
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsTyndale University
Fundersnot available
KeywordsErythema multiformeMedicineDermatologyAdjuvantOral mucosaErythemaAdjuvant therapyLaser therapySurgeryInternal medicinePathologyLaserChemotherapy

Abstract

fetched live from OpenAlex

Erythema multiforme is an autoimmune condition that can affect the skin and mucosa. Oral lesions initially present with edema and progress to superficial erosions with pseudomembrane formation. The most recommended treatment is the use of corticosteroids; however, low-level laser therapy can be effective in the treatment of erythema multiforme. We report a case of erythema multiforme in the oral mucosa treated with low-level laser therapy. A 73-year-old woman using alendronate for osteoporosis, losartan, and puran T4 with extensive ulcers on the upper and lower lips. The clinical diagnosis was erythema multiforme. The proposed treatment was 0.05% clobetasol propionate in gel, 3 times a day, and seven sessions of low-level laser therapy on alternate days. Low-level laser therapy significantly improved the erythema multiforme of the oral mucosa, offering the patient a non-invasive approach with no side effects.

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 score0.707
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.057
GPT teacher head0.362
Teacher spread0.304 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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