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Record W4410995952 · doi:10.1177/20543581251348187

The Aldosterone Blockade for Health Improvement Evaluation in End-Stage Renal Disease (ACHIEVE) Trial: Rationale and Clinical Research Protocol

2025· article· en· W4410995952 on OpenAlexafffund
Michael Walsh, David Collister, Martin Gallagher, Patrick B. Mark, Janak de Zoysa, Jessica Tyrwhitt, Karthik Tennankore, Laura Solá, Gilmar Reis, Denis Xavier, Russell Villanueva, Wen J. Liu, Camilo Félix, Li Zuo, Mustafa Kemal Arıcı, Vivekanand Jha, Ron Wald, Ying Wang, Atiya R. Faruqui, Fei Yuan, Shun Fu Lee, Courtney Christou, P.J. Devereaux

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsSt. Michael's HospitalNova Scotia Health AuthorityDalhousie UniversityHamilton Health SciencesSt. Joseph's HospitalImpactMcMaster UniversityUniversity of AlbertaPopulation Health Research Institute
FundersMedical Research Future FundFaculty of Medicine, Dalhousie UniversityCanadian Institutes of Health ResearchPopulation Health Research InstituteHealth Research Council of New ZealandBritish Heart Foundation
KeywordsMedicineBlockadeEnd stage renal diseaseAldosteroneKidney diseaseStage (stratigraphy)DiseaseClinical trialIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Background: The mineralocorticoid aldosterone may contribute to the risk of cardiovascular morbidity and mortality in patients receiving maintenance dialysis. Whether spironolactone, a mineralocorticoid receptor antagonist, improves outcomes for patients receiving maintenance dialysis is unclear. Objective: To assess the efficacy and safety of spironolactone in patients receiving maintenance dialysis. Design: Placebo-controlled, randomized controlled trial. Setting: Dialysis units. Patients: Patients receiving maintenance dialysis who are adherent to and able to tolerate spironolactone 25 mg daily during an open-label run-in period of at least 49 days were randomized to spironolactone 25 mg daily or matching placebo. Measurements: Randomized participants were followed for the primary outcome of cardiovascular death or hospitalization due to heart failure. Secondary outcomes include cause specific deaths, hospitalization due to heart failure, all-cause death, all-cause hospitalizations, and severe hyperkalemia. All deaths and possible hospitalizations for heart failure were adjudicated. Methods: Eligible participants received open-label spironolactone 25 mg daily for at least 7 weeks during a run-in period. Participants who tolerated and adhered to treatment were randomly allocated to continue spironolactone 25 mg daily or a matching placebo. We followed participants until trial close. Results: The trial began recruitment in 2018 and concluded recruitment in December 2024. Despite a reduced rate of recruitment during the global COVID-19 pandemic 3565 eligible participants were enrolled of whom 2538 were randomized to spironolactone or placebo from 143 dialysis programs. Limitations: Limited funding and the trial was stopped early due to futility to demonstrate an effect. Conclusions: ACHIEVE was designed as a large, simple trial to determine if spironolactone 25 mg daily prevents cardiovascular mortality and heart failure hospitalizations in patients with kidney failure receiving maintenance dialysis. ACHIEVE demonstrates the possibility of conducting large, international, investigator initiated randomized controlled trials for patients with kidney failure receiving dialysis.NCT03020303.

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)0.017
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.040
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.013
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0400.010

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 head0.136
GPT teacher head0.491
Teacher spread0.355 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations1
Published2025
Admission routes2
Has abstractyes

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