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Record W4242759149 · doi:10.3899/jrheum.110608

Longterm Followup After Tapering Mycophenolate Mofetil During Maintenance Treatment for Proliferative Lupus Nephritis

2011· letter· en· W4242759149 on OpenAlexvenueno aff
NOÉMIE JOURDE-CHICHE, Éric Daugas

Bibliographic record

VenueThe Journal of Rheumatology · 2011
Typeletter
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLupus nephritisMycophenolateTaperingInternal medicineSystemic lupus erythematosusMaintenance therapyGastroenterologyNephritisUrologySurgeryChemotherapyDiseaseTransplantation

Abstract

fetched live from OpenAlex

To the Editor: In their retrospective study1, Laskari and colleagues describe their experience of tapering mycophenolate mofetil (MMF) maintenance treatment in patients in renal remission after proliferative lupus nephritis. They compare the relapse rates of patients according to the timing of reduction of MMF. Among 18 patients with reduction of MMF therapy, 10 (56%) experienced a relapse, while only 6 of 26 patients (23%) with … Address correspondence to Dr. Jourde-Chiche; E-mail: noemie.jourde{at}ap-hm.fr

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)0.001
metaresearch head score (Gemma)0.010
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 score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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