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Primary Protein-losing Enteropathy in Anti–Double-stranded DNA Disease

2001· article· en· W2312631390 on OpenAlexaff
Kimberly A. Northcott, Eric M. Yoshida, Urs P. Steinbrecher

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2001
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsHypoalbuminemiaMedicineEnteropathyAnti-nuclear antibodyInternal medicineGastroenterologyHypoproteinemiaProtein losing enteropathyLeukocytopeniaNephrotic syndromeAlbuminCirrhosisImmunologyPathologyAntibodyDiseaseAutoantibody

Abstract

fetched live from OpenAlex

Hypoalbuminemia and generalized edema is a common clinical problem and the etiology is usually clear: cirrhosis, nephrotic syndrome, primary gastrointestinal disorders, malnutrition, etc. We present a 23-year-old previously healthy woman of Korean background who presented with generalized edema and a serum albumin of 9 g/L (normal, 35-45 g/L). Intensive investigations failed to reveal liver, renal, or inflammatory gastrointestinal mucosal disease. The antinuclear antibody was positive at a titer of 1:80, and extractable nuclear antigens were positive for SSA/anti-Ro. Anti-double-stranded DNA was markedly elevated at 4.6 kU/L (normal, 0-2.0 kU/L). A technetium 99M-labeled albumin study revealed a protein-losing enteropathy, despite normal histologic full-thickness jejunal biopsies. A diagnosis of occult systemic lupus erythematosus resulting in increased intestinal vascular permeability was made. The hypoalbuminemia remained in long-term remission after the initiation of induction and maintenance immunosuppression.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.067
GPT teacher head0.389
Teacher spread0.322 · 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

Citations16
Published2001
Admission routes1
Has abstractyes

Explore more

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