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Record W4396998662 · doi:10.1681/asn.20203110s1572c

Corticosteroid Therapy Improves Renal Prognosis in IgAN Patients with Crescent

2020· article· en· W4396998662 on OpenAlexaff
Keiichi Matsuzaki, Hitoshi Suzuki, Takumi Imai, Rei Aida, Sean Barbour, Daniel Cattran, Ritsuko Katafuchi, Yusuke Suzuki

Bibliographic record

VenueJournal of the American Society of Nephrology · 2020
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsToronto General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineCorticosteroidNephrologyUrologyInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Background: IgA nephropathy (IgAN) has been identified as having an inflammatory basis leading to the biological rationale of immunosuppressive therapy. However, little is known about the clinical indication of immunosuppressive therapy related to each histological finding. Recently, Haas et al reported that the crescent lesion is an independent predictor for renal survival in IgAN especially with no immunosuppressive therapy. We assessed the effect of corticosteroid therapy on renal survival of IgAN with crescent based on the Japanese dataset used in the recently published IgAN prediction tool from multinational multi-ethnic cohort (Barbour SJ, JAMA Intern Med. 2019), given it was almost all corticosteroids. Methods: We extracted the 566 Japanese adults with biopsy-proven IgAN patients (male 45.9%, median age 34.7) from original cohort. Baseline characteristics were evaluated at the biopsy, and clinical data including serum creatinine, urinary findings, use of RAS blockers (RASB) and corticosteroid therapy and tonsillectomy were collected at every visit. The outcome was defined as 50% decline in eGFR or end-stage kidney disease. Cox proportional hazard models were used to investigate the association between corticosteroid therapy and renal survival with adjustments of confounders including the Oxford classification. Treatment options were included in the model as time-dependent covariates. Results: At biopsy, median eGFR and proteinuria and proportions of the patients with crescent were 73.2ml/min/1.73m2, 0.67g/day, and 59.9%, respectively. During a median follow-up of 3.79 years, 57 patients (10.1%) reached the outcome. RASB and corticosteroid were used in 377 patients (66.6%) and 368 patients (65.0%), respectively. 241 (42.6%) patients were performed tonsillectomy. Hazard ratio (HR) of corticosteroid therapy was reversed by presence of crescent (no crescent: HR 1.75 95% confidence interval [CI] 0.72-4.23, presence of crescent: HR 0.26 95%CI 0.11-0.61), indicating the interaction between corticosteroid therapy and presence of crescent (p<0.001). Tonsillectomy had also a favorable effect on renal survival (HR 0.43 95%CI 0.20-0.91). Conclusions: Present findings revealed that corticosteroid therapy improved renal survival in Japanese IgAN patients with crescent and are thus suggestive for the indication of this therapy.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.286
Teacher spread0.263 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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