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Record W2606950421 · doi:10.3906/sag-1511-94

Oral lichen planus: a 4-year clinical follow-up study

2017· article· en· W2606950421 on OpenAlexaff
Arūnas Rimkevičius, Jolanta Aleksejūnienė, Алина Пуриене, Dmitrij Šeinin, Rūta Rastenienė

Bibliographic record

VenueTURKISH JOURNAL OF MEDICAL SCIENCES · 2017
Typearticle
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOral lichen planusMedicineDermatologyHyperkeratosisReticular connective tissueHistologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND/AIM: This study aimed to examine oral lichen planus (OLP) cases histopathologically and cytologically, describe different clinical aspects of OLP manifestations, and associate different OLP clinical forms with self-reported oral health and with local and systemic risk factors. MATERIALS AND METHODS: All patients with a referral diagnosis of OLP received biopsies. The histological evaluation assessed infiltration with lymphocytes, epithelial hyperplasia, and hyperkeratosis. Histology was used to validate the OLP diagnosis and to evaluate the malignant transformation of OLP lesions. Clinical manifestations of OLP and potential local oral environment-related risks were clinically assessed. Systemic risks were evaluated by a structured questionnaire. RESULTS: A total of 133 patients with a histologically confirmed OLP diagnosis were followed. There were more females (N = 109) than males (N = 24) and the majority of patients were older than 50 years. The reticular form (45.1%) was the most prevalent clinical form followed by the erosive-ulcerative form (33.8%). The histological characteristics were most pronounced in the erosive-ulcerative form. Of the OLP cases, 2.3% had a malignant transformation. CONCLUSION: Reticular and erosive-ulcerative were the most prevalent OLP forms. There were more female than male OLP patients. Except for medication use, there were no statistically significant differences among different clinical OLP forms in either local or systemic risk factor distributions.

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)0.010
metaresearch head score (Gemma)0.003
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.227
GPT teacher head0.512
Teacher spread0.285 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueTURKISH JOURNAL OF MEDICAL SCIENCESSame topicOral Health Pathology and TreatmentFrench-language works237,207