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Record W3026281131 · doi:10.1016/j.ekir.2020.05.011

Creatinine Fluctuation in Patients With Lupus Nephritis: Considerations for Clinical Trial Endpoints

2020· article· en· W3026281131 on OpenAlexaff
Salem Almaani, Udayan Bhatt, Cristina Arriens, Eloísa Bonfá, Maria Dall’Era, Frédéric Houssiau, Kenneth Kalunian, Megan Mackay, Jorge Sánchez‐Guerrero, Neil Solomons, Brad H. Rovin

Bibliographic record

VenueKidney International Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsAurinia (Canada)University of Toronto
FundersBristol-Myers SquibbNational Institutes of HealthLupus Foundation of America
KeywordsMedicineLupus nephritisCreatinineClinical trialInternal medicineIntensive care medicineDisease

Abstract

fetched live from OpenAlex

Lupus nephritis (LN) is a common manifestation of systemic lupus erythematosus (SLE) and a major driver of morbidity and mortality. Proliferative forms of LN are typically managed with immunosuppressive therapy, with the aim of attenuating renal inflammation and preserving kidney function.1 Unfortunately, despite several clinical trials of LN conducted over the past 30 to 40 years, none has translated into new Food and Drug Administration (FDA)−approved therapies. Multiple issues in clinical trial design likely contributed to these negative outcomes, such as confounding background medications (especially high-dose glucocorticoids), trial duration, and the choice of trial endpoints.

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)0.293
metaresearch head score (Gemma)0.335
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.293
Threshold uncertainty score0.872

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2930.335
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0020.005
Science and technology studies0.0010.002
Scholarly communication0.0090.006
Open science0.0030.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.079
GPT teacher head0.378
Teacher spread0.299 · 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.

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

Citations3
Published2020
Admission routes1
Has abstractyes

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