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Record W3115370127 · doi:10.1177/2050313x20984121

Improvement in Hailey–Hailey disease with a combination of low-dose naltrexone and oral magnesium chloride: A case report

2020· article· en· W3115370127 on OpenAlexaff
Darosa Lim, Annie Bélisle, Sandra Davar

Bibliographic record

VenueSAGE Open Medical Case Reports · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and rare skin diseases.
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsHailey–Hailey diseaseMedicineIntertriginousNaltrexoneDermatologyMagnesiumDiseaseSurgeryInternal medicinePemphigusOpioid

Abstract

fetched live from OpenAlex

gene and presents with flaccid blisters in intertriginous regions. Its chronic and relapsing course may negatively impact patients' quality of life. Multiple medical and interventional treatments have been described with various efficacy. Low-dose naltrexone and oral magnesium chloride represent emerging treatments. Sustained improvement in Hailey-Hailey disease has been reported with the former in case series, while others have shown variable results. Oral magnesium chloride has been reported in four patients with possible results after 2-4 weeks. Two recent cases suggest that the combination of both treatments may have a synergistic effect. Herein, we present a 63-year-old woman with long-standing and recurrent bilateral inguinal Hailey-Hailey disease who significantly improved with low-dose naltrexone and oral magnesium chloride, representing the third case described with this combination.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.035
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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 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

Citations6
Published2020
Admission routes1
Has abstractyes

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