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Record W2120431067 · doi:10.1093/ckj/sfs098

Anti-GBM disease with a mild relapsing course and low levels of anti-GBM autoantibodies

2012· article· en· W2120431067 on OpenAlexaff
Mårten Segelmark, Peter S. Dahlberg, Jörgen Wieslander

Bibliographic record

VenueClinical Kidney Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicineAutoantibodyRapidly progressive glomerulonephritisGlomerular basement membraneAnti-neutrophil cytoplasmic antibodyInternal medicineCreatinineGlomerulonephritisDiseaseGastroenterologyAntibodyUrinary systemImmunologyKidneyVasculitis

Abstract

fetched live from OpenAlex

Anti-glomerular basement membrane disease (anti-GBM) is usually characterized by rapidly progressive glomerulonephritis, and when autoantibody production has ceased, relapses are rare. Here, we report a 71-year-old women diagnosed at a stage of mild renal insufficiency. Over a period of 10 years, she experienced three mild relapses with return of anti-GBM antibodies, haematuria and slight elevations in serum creatinine level. All three relapses responded to immunosuppressive therapy, and all were preceded by peaks of myeloperoxidase-antineutrophil cytoplasm antibodies (MPO-ANCA). This case shows that long-term follow-up is warranted in patients treated for anti-GBM-mediated disease, but urinary dipsticks may be sufficient for early detection of relapses.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

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

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 head0.044
GPT teacher head0.358
Teacher spread0.314 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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