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Record W2073248850 · doi:10.2310/7750.2006.00053

Effect of Intravenous Immunoglobulin on Prednisone Dose in Patients with Pemphigus Vulgaris

2006· article· en· W2073248850 on OpenAlexaff
Nicole Mittmann, Brian Chan, Simon R. Knowles, P. Régine Mydlarski, Lidia Cosentino, Neil H. Shear

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePrednisonePemphigus vulgarisConcomitantCorticosteroidRetrospective cohort studyDoseInternal medicineDermatology

Abstract

fetched live from OpenAlex

BACKGROUND: Current therapeutic options for the treatment of pemphigus vulgaris (PV) are prednisone and immunosuppressants. Patients unresponsive to high-dose systemic corticosteroids and conventional immunosuppressants may respond to intravenous immunoglobulin (IVIG). OBJECTIVE: The primary outcome was the change in prednisone dose at 6 months and 1 year post-IVIG administration. METHODS: A retrospective chart review of PV patients treated at Sunnybrook and Women's College Health Sciences Centre between January 1999 and October 2004 was conducted. Demographic information, corticosteroid and IVIG use, dosage, and the timing of administration for all patients were obtained. RESULTS: Eight PV patients, mean age of 50 years (+/- 14.7 years), were reviewed. There was a significant decrease in mean prednisone dose at 6 months (45%) and 12 months (71%) compared with the mean dose at the start of treatment (p < .05). LIMITATIONS: Concomitant medication use may influence results. CONCLUSION: This study demonstrates that IVIG can lower prednisone doses in PV patients.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.004
GPT teacher head0.222
Teacher spread0.218 · 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

Citations9
Published2006
Admission routes1
Has abstractyes

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