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Record W4415427054 · doi:10.1093/ndt/gfaf116.0465

#3015 ALIGN post-hoc analyses: Reduction in proteinuria with atrasentan across subgroups by MEST-C score, baseline hematuria and baseline UPCR

2025· article· en· W4415427054 on OpenAlexaff
Hiddo J.L. Heerspink, Meg Jardine, Donald E. Kohan, Richard Lafayette, Adeera Levin, Adrian Liew, Hong Zhang, Barbara Knorr, Soudeh Ansari, Ronny Renfurm, Jonathan Barratt

Bibliographic record

VenueNephrology Dialysis Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProteinuriaPlaceboInterim analysisRandomized controlled trialSingle CenterClinical trialConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background and Aims Atrasentan is a potent and highly selective endothelin A receptor antagonist. In the prespecified 36-week interim analysis (IA) of the Phase 3 global ALIGN clinical trial, atrasentan demonstrated superiority versus placebo with a clinically meaningful and statistically significant reduction in proteinuria (primary endpoint) in patients with IgA Nephropathy (IgAN) receiving supportive care. Here, we report on additional post-hoc analyses from the ALIGN trial. Method ALIGN is an ongoing Phase 3, randomized, double-blind, placebo-controlled study evaluating the efficacy and safety of atrasentan vs placebo in adults with IgAN at risk of progressive loss of renal function. The main stratum of the ALIGN study included patients with biopsy-proven IgAN and proteinuria of ≥1g/day while on maximum tolerated dose of renin-angiotensin inhibitors. Patients were randomized to receive atrasentan 0.75 mg or placebo orally once daily for 132 weeks while continuing supportive care. These post-hoc analyses assessed the change from baseline in 24-hour UPCR at Week 36 based on baseline proteinuria (<1 or ≥1 g/g), MEST-C scores and baseline hematuria. The analyses were performed on the IA data set which included the first 270 of 340 patients randomized to the main stratum. For the analysis by MEST-C score, 160 of 270 patients from the IA data set were included (i.e. patients with MEST-C scores available at baseline). Results Atrasentan showed a statistically significant and clinically meaningful proteinuria reduction of 36.1% (95% CI: 26.4%, 44.6%; P < 0.0001) relative to placebo, after 36 weeks of treatment. The reduction in proteinuria in patients with baseline UPCR <1 g/g and ≥1 g/g (LS mean % UPCR change from baseline relative to placebo at Week 36) was −28.7 (95% CI: −47.5, −3.2)​ and −38.3 (95% CI: −47.4, −27.5), respectively (Fig.). In addition, efficacy benefit favoring atrasentan was shown irrespective of MEST-C score and baseline hematuria level (Fig.). Conclusion Consistent with the primary endpoint findings, atrasentan shows favorable efficacy versus placebo in patients with IgAN regardless of baseline UPCR (<1 g/g and ≥ 1g/g), MEST-C score, and baseline hematuria. These results add to previously presented subgroup analysis data, and further support the efficacy of atrasentan across a broad range of IgAN 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 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)0.008
metaresearch head score (Gemma)0.007
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.285
Teacher spread0.274 · 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
Published2025
Admission routes1
Has abstractyes

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