MétaCan
Menu
Back to cohort
Record W4388771763 · doi:10.1177/2050313x231213144

Successful treatment of erosive lichen planus with Upadacitinib complicated by oral squamous cell carcinoma

2023· article· en· W4388771763 on OpenAlexaff
Fiona Landells, Shaina Goudie, Jerry McGrath, Jamie Tibbo, Ian Landells

Bibliographic record

VenueSAGE Open Medical Case Reports · 2023
Typearticle
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineOral lichen planusBasal cellDermatologyComplicationCarcinomaPathologySurgery

Abstract

fetched live from OpenAlex

Erosive lichen planus is a chronic auto-inflammatory disease which affects the stratified squamous epithelia resulting in painful ulcerations of both the skin and mucosal surfaces, and has a known malignant potential. Management of erosive lichen planus has proven to be difficult; however, recent reports of treatment with Janus kinase inhibitors such as Upadacitinib, are encouraging. This report outlines the third reported case of erosive lichen planus to be successfully treated with Upadacitinib in a 70-year-old woman with treatment-resistant disease. In addition, we report the complication of oral squamous cell carcinoma which became apparent once the extensive erosive lichen planus had healed. This case report highlights the importance of monitoring for mucosal squamous cell carcinoma in areas affected by erosive lichen planus, as squamous cell carcinoma can mimic the erosions of erosive lichen planus.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.040
GPT teacher head0.348
Teacher spread0.308 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSAGE Open Medical Case ReportsSame topicOral Health Pathology and TreatmentFrench-language works237,207