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Record W2405891102 · doi:10.1097/rhu.0000000000000167

Anti-RNA Polymerase III Antibodies in the Diagnosis of Scleroderma Renal Crisis in the Absence of Skin Disease

2014· article· en· W2405891102 on OpenAlexaff
Sankalp Virendrakumar Bhavsar, Raj Carmona

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScleroderma (fungus)AntibodyDiseaseMedicineImmunologyRNA polymerase IIIPolymeraseRNAPathologyVirologyDermatologyRNA polymeraseBiologyGeneticsDNAGene

Abstract

fetched live from OpenAlex

Scleroderma renal crisis (SRC) occurs in approximately 10% of patients with systemic sclerosis (SSc), particularly in those with diffuse skin disease. Scleroderma renal crisis has rarely been described to occur in patients with SSc without skin involvement. Scleroderma renal crisis without skin disease represents a major diagnostic challenge, particularly in patients without overt SSc involvement of other organ systems. It closely mimics the presentation of thrombotic thrombocytopenic purpura/hemolytic uremic syndrome, and treatment is therefore often directed at this entity. Anti-RNA polymerase III antibody testing has been previously reported to be used in 4 patients to diagnose SRC in the absence of sclerotic skin disease.We report 2 patients without skin disease or overt visceral involvement at presentation who presented with microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury. Both patients eventually developed diffuse and rapidly progressive skin thickening. Anti-RNA polymerase III antibodies were strongly positive, supporting that their renal presentations were secondary to SRC.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.367
Teacher spread0.319 · 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

Citations20
Published2014
Admission routes1
Has abstractyes

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