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Record W2986974348 · doi:10.3899/jrheum.190569

Acute Myocarditis in Patients with Antineutrophil Cytoplasmic Antibody–positive Microscopic Polyangiitis and Receiving Rituximab Therapy

2019· article· en· W2986974348 on OpenAlexvenueno aff
Chrong‐Reen Wang, Yi‐Shan Tsai, Hung-Wen Tsai

Bibliographic record

VenueThe Journal of Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGranulomatosis with polyangiitisRituximabInternal medicineMyocarditisEjection fractionHeart failureAnti-neutrophil cytoplasmic antibodyMicroscopic polyangiitisCardiologyVasculitisDisease

Abstract

fetched live from OpenAlex

The presence of cardiac insufficiency is recognized as a poor prognostic factor in antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV)1, and heart failure is an identified mortality risk factor for eosinophilic granulomatosis with polyangiitis (EGPA)2. Microscopic polyangiitis (MPA) has lower frequencies of myocardial involvement with rarely reported acute myocarditis presentation3. Rituximab (RTX) is a first-line induction therapy licensed for severe MPA with reduced ANCA titers and clinical remission4. In this study, we reviewed hospitalized patients with MPA who were receiving RTX therapy for acute myocarditis-related heart failure. A retrospective study was carried out at the National Cheng Kung University Hospital from January 2014 to December 2018. Hospitalized patients fulfilling the 2012 Revised Chapel Hill Consensus Conference MPA definition5 were analyzed under the permission of the institutional review board (approval no. B-ER-105-108). Acute myocarditis was defined as (1) symptoms such as fever, dyspnea, orthopnea, chest pain, and palpitation; (2) raised cardiac biomarker levels; and (3) new/worsening echocardiograph or cardiac magnetic resonance imaging (cMRI) changes including wall motion abnormalities and impaired left ventricular ejection fraction (LVEF) … Address correspondence to Dr. C.R. Wang, Section of Rheumatology, Department of Internal Medicine, National Cheng Kung University Hospital, 138 Sheng-Li Road, Tainan 70428, Taiwan. E-mail: wangcr{at}mail.ncku.edu.tw

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.221
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations7
Published2019
Admission routes1
Has abstractyes

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