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Corticosteroid‐induced hyperglycemia is increased 10‐fold in patients with pemphigus

2012· article· en· W2171073968 on OpenAlexaff
Afsáneh Alavi, Julia Lowe, Scott R. Walsh, David N. Juurlink, Soroush Mortaz‐Hedjri, Neil H. Shear

Bibliographic record

VenueInternational Journal of Dermatology · 2012
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePemphigus vulgarisPemphigusOdds ratioDiabetes mellitusPemphigus foliaceusCorticosteroidConfidence intervalInternal medicineBody mass indexPemphigoidBullous pemphigoidGastroenterologyDermatologyEndocrinologyImmunologyAutoantibody

Abstract

fetched live from OpenAlex

This study aimed to highlight the importance of routine screening for hyperglycemia and to develop a standardized, evidence-based approach for the management of pemphigus patients on prolonged systemic corticosteroid (CS) therapy. A cross-sectional study was conducted in two university-affiliated teaching hospitals using a referred sample of 200 patients with a confirmed diagnosis of pemphigus vulgaris, pemphigus foliaceus, or mucous membrane pemphigoid. All patients were receiving systemic CS therapy. A total of 150 patients responded to the survey. Six participants were excluded and 144 were included. The main outcome measure was blood glucose level to detect hyperglycemia. New-onset hyperglycemia was identified in 40% of patients who received CS therapy. None of the expected variables, including age, body mass index, family history of diabetes, corticosteroid dose, and duration of corticosteroid therapy, were independently associated with new-onset hyperglycemia. These findings indicate that the prevalence of CS-induced hyperglycemia in pemphigus patients is 40% and that in patients with pemphigus or MMP, CS therapy is associated with a markedly increased risk for hyperglycemia (odds ratio = 10.7, 95% confidence interval 1.38-83.50) compared with that of patients with the same diseases who do not receive CS therapy.

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 score0.014
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.264
Teacher spread0.254 · 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

Citations18
Published2012
Admission routes1
Has abstractyes

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