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Record W144221349 · doi:10.1177/120347541201600110

Mycophenolate Mofetil and Erythromycin for Bullous Lupus Erythematosus of Childhood

2012· article· en· W144221349 on OpenAlexaff
Kevin Pehr

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineMycophenolateDermatologyErythromycinLupus erythematosusSystemic lupus erythematosusImmunologyAntibioticsDiseaseInternal medicineTransplantationMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Bullous lupus erythematosus is a rare disease that is extremely rare in childhood (with only seven previous reports) and difficult to control. OBJECTIVE: Herein is presented the youngest patient reported with this condition, and a novel, safe, and effective treatment regimen is described. METHODS: Through study, perseverance, serendipity, and creativity, a safe and effective regimen was developed. RESULTS: The combination of mycophenolate mofetil and erythromycin (plus sun protection) was found to be efficacious. CONCLUSION: It is proposed that the two medications act synergistically, with the "antibiotic" acting as a antiinflammatory agent, but at a different point in the inflammatory cascade than mycophenolate mofetil. This suggests the approach of using common, inexpensive, and benign antibiotics to potentiate, and perhaps decrease the use of, immunomodulatory agents in autoimmune and autoinflammatory diseases.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
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 head0.020
GPT teacher head0.266
Teacher spread0.245 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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