MétaCan
Menu
Back to cohort
Record W2139012475 · doi:10.3899/jrheum.120482

Efficacy and Safety of Rituximab Treatment in Patients with Antineutrophil Cytoplasmic Antibody-associated Vasculitides: Results from a German Registry (GRAID)

2012· article· en· W2139012475 on OpenAlexvenueno aff
Petra Roll, Eva Ostermeier, Marion Haubitz, Svjetlana Lovric, L. Unger, Julia U. Holle, Ina Kötter, Jörg Henes, Raoul Bergner, Andrea Rubbert‐Roth, Christof Specker, Hendrik Schulze‐Koops, Ulf Müller‐Ladner, Martin Fleck, Gerd‐Rüdiger Burmester, Falk Hiepe, Stefan Heitmann, Martin Aringer, Rebecca Fischer‐Betz, Thomas Dörner, Hans‐Peter Tony

Bibliographic record

VenueThe Journal of Rheumatology · 2012
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRituximabGranulomatosis with polyangiitisAnti-neutrophil cytoplasmic antibodyRefractory (planetary science)TolerabilityInternal medicineMicroscopic polyangiitisVasculitisGastroenterologyCohortAdverse effectSurgeryDiseaseLymphoma

Abstract

fetched live from OpenAlex

OBJECTIVE: Rituximab (RTX) therapy is a treatment option in patients with refractory antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). We investigated the tolerability and clinical efficacy of RTX in a cohort of patients with refractory AAV. METHODS: Clinical and safety data of patients with AAV treated with RTX were retrospectively assessed from the data of a German national registry. RESULTS: In total, 58 patients were included in this analysis (50/58 with granulomatosis with polyangiitis; 8/58 with microscopic polyangiitis who received at least 1 cycle, 17 patients who received 2 cycles, and 3 patients who received 3 cycles of RTX). Response was classified as complete and partial in 22 (40%) and in 29 cases (52.7%), respectively. Four patients (7.3%) were classified as nonresponders. CONCLUSION: RTX was well tolerated with good clinical efficacy in patients with refractory AAV.

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 score0.040
Threshold uncertainty score0.322

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 head0.007
GPT teacher head0.250
Teacher spread0.242 · 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

Citations37
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicVasculitis and related conditionsFrench-language works237,207