Rare Case of Lupus Nephritis With Negative Antinuclear Antibodies, Double-Stranded DNA Antibodies and Positive Anti-Ro/SSA Antibodies
Bibliographic record
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune multisystem disease that is characterized by various antibodies to nuclear and cytoplasmic antigens and diagnosed by either fulfilling the 2012 Systemic Lupus International Collaborating Clinics (SLICC) criteria, American College of Rheumatology (ACR) criteria or by Renal Biopsy. Renal involvement is common in SLE and is primarily related to anti-double-stranded DNA antibodies. However, small group of SLE nephritis patients have shown negative anti-dsDNA and ANA. We present a case of 25-year-old female who presented with proteinuria and negative serum antibodies except anti-Ro/SSA. Renal biopsy was performed and was consistent with class IV lupus nephritis (LN). In this report, we highlight the possible role of anti-Ro antibodies in the pathogenesis and the prognosis of LN, although the mechanism is yet to be understood. Anti-Ro/SSA antibodies might play an important role in the pathogenesis and prognosis in LN. However, further studies are required to understand the exact mechanism. World J Nephrol Urol. 2016;5(2):48-49 doi: http://dx.doi.org/10.14740/wjnu272e
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".