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Record W2363699259

Efficacy of mycophenolate mofetil therapy in pateints with lupus nephritis

2003· article· en· W2363699259 on OpenAlexaboutno aff
Huang Bao

Bibliographic record

VenueChinese Remedies & Clinics · 2003
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsLupus nephritisMedicineMycophenolatePrednisoneCyclophosphamideMycophenolic acidNephrotic syndromeGastroenterologySystemic lupus erythematosusInternal medicineRenal biopsyUrologyImmunologyBiopsyChemotherapyTransplantationDisease
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate the curative efficacy of mycophenolate mofetil therapy in lupus patients with nephrotic syndrome.Methods Eleven cases of biopsy proven active diffuse proliferation lupus nephritis to whom previous oral prednisone and/or intravenous cyclophosphamide treatment had been proven ineffective or who had a refractory course and a bad adverse effect,were enrolled for this trial.Mycophenolate mofetil (MMF) was given at a dosage of 1 0~ 2 0 g/d for 6~13 mouths and lower dosage of prednisone every day.At the same time 8 controls of biopsy proven active diffuse proliferation lupus nephritis with nephrotic syndrome who received continuous prednisone and/or cyclophosphamide treatment over 6 months served for comparing and observing usinary protein,SLEDAI and renal function.Results The urinary protein count and the University of Toronto SLEDAI in patients with diffuse proliferation lupus nephritis decreased significantly by mycophenolate mofetil therapy [urinary protein count from (3 9±0 7) g/d to (1 4±0 5) g/d,the index of illness severity of lupus from 13 5±3 3 to 3 8±1 0 respectively].Conclusion The treatment of mycophenolate mofetil plus small dose glucocorticoids can effectively inhibit the lupus activity of lupus nephritis patients.

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)0.002
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 score0.350
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.331
Teacher spread0.303 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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