MétaCan
Menu
Back to cohort
Record W3174571804 · doi:10.1016/j.ekir.2021.06.010

Repository Corticotropin Injections Promote Clinical Remission and Regulatory T Cell Expansion in Membranous Nephropathy

2021· article· en· W3174571804 on OpenAlexfundno aff
Susan Hartzell, Luis Sanchez-Russo, Isabella Perez Pecchio, Ibeawuchi Okoroafor, Kristin Meliambro, Sofia Bin, Miguel Fribourg, Chiara Cantarelli, Kirk N. Campbell, Paolo Cravedi

Bibliographic record

VenueKidney International Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
FundersMallinckrodt PharmaceuticalsSucampo Pharmaceuticals
KeywordsMembranous nephropathyMedicineAutoantibodyNephrotic syndromeMinimal change diseaseInternal medicinePodocyteImmunologyGlomerulonephritisKidneyGastroenterologyFocal segmental glomerulosclerosisProteinuriaAntibody

Abstract

fetched live from OpenAlex

Membranous nephropathy (MN) is one of the most common causes of nephrotic syndrome in nondiabetic adults.1 It is estimated that even with proper treatment, 10% to 20% of patients with MN will progress to end-stage kidney disease.1,2 Disease pathogenesis involves the production of autoantibodies against podocyte antigens, including the M-type phospholipase A2 receptor, that deposit in the subepithelial space of the glomeruli and activate complement, leading to podocyte injury. Although the exact pathogenic mechanism responsible for autoantibody production is unknown, evidence has been generated showing that patients with active MN have reduced levels of regulatory T cells (TREG), a cell subset responsible for peripheral immune tolerance.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.293
Teacher spread0.281 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueKidney International ReportsSame topicRenal Diseases and GlomerulopathiesFrench-language works237,207