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Record W6989886084

Cocktail Inferno – Multiple Sclerosis with Type 2 Diabetes Mellitus in a Patient with Lepromatous Leprosy

2022· article· en· W6989886084 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsSKiN Health
Fundersnot available
KeywordsLepromatous leprosyMultiple sclerosisType 2 Diabetes MellitusDiabetes mellitusLeprosyUrinary systemBiopsy
DOInot available

Abstract

fetched live from OpenAlex

Co-occurrence of multiple sclerosis with type 2 diabetes mellitus with lepromatous leprosyis rare. We hereby report a case of multiple sclerosis with type 2 diabetes mellitus with lepromatousleprosy in a middle-aged female. She was clinically diagnosed as having multiple sclerosis withtype 2 diabetes mellitus and presented with fever, ENL and neuritis. Her MRI reports were normalbut she had a positive slit-skin smear and skin biopsy as lepromatous leprosy. Proceeding withthis diagnosis, she was treated with baclofen for spastic bladder, antibiotics for urinary tractinfection, oral hypoglycemic agents and oral steroids with multibacillary treatment for leprosywith type 2 reactions. She responded well and currently is being followed-up

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.680

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)0.0010.000

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 head0.025
GPT teacher head0.231
Teacher spread0.207 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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