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Record W3128368758 · doi:10.34067/kid.0007192020

Corticosteroids Should Be Used To Treat Slowly Progressive IgA Nephropathy: PRO

2021· article· en· W3128368758 on OpenAlexaff
Amanda Cunningham, Heather N. Reich

Bibliographic record

VenueKidney360 · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsNephropathyMedicineEndocrinology

Abstract

fetched live from OpenAlex

Recent clinical trial results on the role of corticosteroids for prevention of progression of IgA nephropathy (IgAN) are challenging to reconcile, and the use of corticosteroids in the management of IgAN remains controversial. However, there is a clear mechanistic rationale to support the use of these medications, and compelling data supporting efficacy. We argue that corticosteroids are effective in slowly progressive IgAN and propose ways to optimize, personalize, and improve the safety of this approach. There is a strong biologic underpinning for corticosteroid use in addressing the underlying pathophysiology of IgAN. Glucocorticoids exert potent immunosuppressive activity via genomic and nongenomic effects on immune cells and tissue. A central mechanism includes interruption of the activity of key nuclear transcription factors (ex. NFκB), affecting genes encoding the mediators involved in the regulation of inflammation (1). Modulation of expression of cytokines, chemokines, and adhesion molecule synthesis has important downstream effects on the activity, proliferation, and survival of contributors to glomerular inflammation including monocytes, macrophages, and T cells. Evidence derived both in vivo and in vitro support the potential for corticosteroids to interfere with several core pathophysiologic processes implicated in IgAN pathogenesis. For example, serum levels of total and galactose-deficient IgA1 are reduced after treatment of patients with IgAN with glucocorticoids, and in patients with IgAN initiating glucocorticoid-containing treatment for transplant (2,3). One potential explanation for this reduction in galactose-deficient IgA1 is the effect of glucocorticoids on the expression of cytokines such as IL6, which affect Ig production by IgA-secreting plasma cells, or may affect the activity of glycosyltransferases responsible for IgA1 glycosylation (4). On the basis of in vitro models of GN, where mesangial and tubular cells are exposed to protein and immune complexes, corticosteroids are hypothesized to affect glomerular and interstitial inflammation induced by infiltrating lymphocytes and resident kidney cells …

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.331
Teacher spread0.276 · 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 designNot applicable
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

Citations2
Published2021
Admission routes1
Has abstractyes

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