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Record W4402112123 · doi:10.14740/jh1260

Is There a Correlation Between Immune Thrombocytopenia and Immunoglobulin G4-Related Disease?

2024· article· en· W4402112123 on OpenAlexvenueno aff
Dorela Lame, Michelangelo Pianelli, Erika Morsia, Attilio Olivieri, Antonella Poloni

Bibliographic record

VenueJournal of Hematology · 2024
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunologyAntibodyImmune thrombocytopeniaDiseaseImmune systemImmunoglobulin GCorrelationPathologyMathematics

Abstract

fetched live from OpenAlex

Immunoglobulin G4-related disease (IgG4-RD) is an immune-mediated condition causing organ swelling and fibrosis. Rarely, it coexists with primary immune thrombocytopenia (ITP), characterized by low platelet count (< 100 × 10 6 /L) without an underlying cause. We present a case of a 56-year-old woman diagnosed with ITP in 2005, successfully treated with dexamethasone and intravenous immunoglobulins (IVIG). In 2011, she was diagnosed with IgG4-RD, type I autoimmune pancreatitis, initially treated with steroids then azathioprine with no response. ITP relapses were managed with prednisone/IVIG, rituximab, and thrombopoietin-receptor agonist therapy. Fostamatinib provided temporary relief, but platelet count dropped again in 2023. Combination therapy with small doses of prednisone and mycophenolate showed a partial response, maintaining platelet count over 50 × 10 6 /L. Further investigation is warranted to explore any correlation between these two conditions, especially considering the patient¡¯s prolonged response to immunosuppressors. J Hematol. 2024;13(4):174-177 doi: https://doi.org/10.14740/jh1260

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 score0.076
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.293
Teacher spread0.278 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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