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Record W4206018110 · doi:10.1097/mpa.0000000000001925

Rituximab as Maintenance Therapy in Type 1 Autoimmune Pancreatitis

2021· article· en· W4206018110 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePancreas · 2021
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsRituximabMaintenance therapyAutoimmune pancreatitisMaintenance doseDiseaseAutoimmune disease

Abstract

fetched live from OpenAlex

OBJECTIVE: Rituximab (RTX) has been proposed for the induction of remission and maintenance therapy in relapsing type 1 autoimmune pancreatitis (AIP). The aim of the study was to describe the use of RTX as maintenance therapy for patients with type 1 AIP. METHODS: Patients with type 1 AIP based on the International Consensus Diagnostic Criteria and treated with RTX were selected from our database. Two doses of RTX (1000 mg each) were administered 15 days apart and repeated after 6 months. RESULTS: Eighteen patients were treated with RTX as maintenance therapy. Of these, the involvement of other organs was observed in 16 patients (89%). Eight of the 18 patients (44%) relapsed during follow-up. Median time to relapse after the last infusion was 30 months (range, 12-35 months). No disease relapse was observed in the first year after the last infusion. Probability of disease relapse was 80% between 1 and 3 years from initial treatment. No adverse effects were observed. CONCLUSIONS: Rituximab seems be safe and effective for maintenance therapy of type 1 AIP during the first year after completing RTX infusion. However, the probability of disease relapse is high within 1 and 3 years from the last infusion.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

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)0.0030.001

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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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