MétaCan
Menu
Back to cohort
Record W2790901111 · doi:10.3899/jrheum.170258

The Antinuclear Antibody Test in the Diagnosis of Antisynthetase Syndrome and Other Autoimmune Myopathies

2018· letter· en· W2790901111 on OpenAlexafffundvenueabout
Marvin J. Fritzler, May Y. Choi, Michael Mähler

Bibliographic record

VenueThe Journal of Rheumatology · 2018
Typeletter
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsUniversity of Calgary
FundersCumming School of Medicine, University of CalgaryUniversity of Calgary
KeywordsAntisynthetase syndromeMedicineAutoantibodyAnti-nuclear antibodyDermatomyositisIIfMixed connective tissue diseaseUndifferentiated connective tissue diseaseImmunologyMyositisContext (archaeology)PolymyositisConnective tissue diseaseDermatologyPathologyAutoimmune diseaseAntibody

Abstract

fetched live from OpenAlex

Autoantibodies directed to intracellular macromolecules are a characteristic feature of antinuclear antibody (ANA)-associated rheumatic diseases (AARD) such as systemic lupus erythematosus, systemic sclerosis, mixed connective tissue disease, Sjögren syndrome, and autoimmune inflammatory myopathies (AIM). Some of these autoantibodies are highly specific for the individual AARD and hence are termed disease-specific antibodies, and some are included in the classification and/or diagnostic criteria for these diseases1. In this context, the report by Aggarwal, et al in The Journal 2 is timely and provides insight into the value of screening for anticytoplasmic antibodies (anti-CytAb) as an adjunct to the diagnosis of the antisynthetase syndrome, a subset of AIM3. In their retrospective analysis of 202 patients with antisynthetase syndrome, the anti-CytAb test performed better than the conventional ANA indirect immunofluorescence (IIF) test in identifying antisynthetase syndrome as evidenced by higher sensitivity (72% vs 50%) and specificity (89% vs 6%). Consequently, they indicate that a negative ANA test does not rule out the diagnosis of antisynthetase syndrome or AIM. That a negative ANA does not indicate autoantibody negativity in antisynthetase syndrome or AIM is an important message that may be misunderstood by clinicians. Despite remarkable efforts to standardize ANA nomenclature by the International Consensus on ANA Pattern (ICAP) committee4,5, there is considerable confusion about the term ANA . The efforts of the ICAP were recognized by Aggarwal, et al , but they, as well as some diagnostic laboratories and clinicians, continue to interpret and understand the definition of ANA in a strict sense, meaning only autoantibodies that react with nuclear targets are properly regarded as ANA. The spectrum of autoantibody targets in the nucleus is wide and includes components of the nuclear envelope, nuclear pore complex, nuclear matrix, nucleoplasm, chromatin and chromosomes, nucleolus, and promyelocyte leukemia/coiled bodies … Address correspondence to Dr. M.J. Fritzler, University of Calgary, 3330 Hospital Dr. NW, Calgary, Alberta T2N 4N1, Canada. E-mail: fritzler{at}ucalgary.ca

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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 designNot applicable
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
Published2018
Admission routes4
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicInflammatory Myopathies and DermatomyositisFrench-language works237,207