Evidence map›Paper›PMID 31583611›Full record

Trial reportClinical pharmacokinetics2020

Population Pharmacokinetic and Exposure-Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease.

Nelleke Snelder, Roland Heinig, Henk-Jan Drenth, Amer Joseph, Peter Kolkhof, Jörg Lippert, Dirk Garmann, Bart Ploeger, Thomas Eissing

2 registry-linked trialsAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01874431 phase2completednot on this map

A Randomized, Double-blind, Placebo-controlled, Multi-center Study to Assess the Safety and Efficacy of Different Oral Doses of BAY94-8862 in Subjects With Type 2 Diabetes Mellitus and the Clinical Diagnosis of Diabetic Nephropathy

TypeinterventionalSponsorBayerRan2013 to 2014Enrolled823ConditionsDiabetic NephropathiesArmsFinerenone (BAY94-8862), Placebo
NCT01968668 phase2completednot on this map

A Randomized, Double-blind, Placebo-controlled, Multi-center Study to Assess the Safety and Efficacy of Different Oral Doses of BAY94-8862 in Japanese Subjects With Type 2 Diabetes Mellitus and the Clinical Diagnosis of Diabetic Nephropathy

TypeinterventionalSponsorBayerRan2013 to 2014Enrolled96ConditionsDiabetic NephropathiesArmsBAY94-8862, Placebo, BAY 94-8862
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. Mineralocorticoid Receptor Antagonists in Dialysis.American journal of nephrology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nelleke SnelderLeiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.
Roland HeinigClinical Pharmacology, Bayer AG, Wuppertal, Germany.
Henk-Jan DrenthLeiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.
Amer JosephClinical Development Cardiology and Nephrology, Bayer AG, Berlin, Germany.
Peter KolkhofPreclinical Research Cardiovascular, Bayer AG, Wuppertal, Germany.
Jörg LippertClinical Pharmacometrics, Bayer AG, Wuppertal, Germany.
Dirk GarmannClinical Pharmacometrics, Bayer AG, Wuppertal, Germany.
Bart PloegerClinical Pharmacometrics, Bayer AG, Berlin, Germany.
Thomas EissingClinical Pharmacometrics, Bayer AG, Leverkusen, Germany. thomas.eissing@bayer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFinerenone (BAY 94-8862) is a potent non-steroidal, selective mineralocorticoid receptor antagonist being developed for the treatment of patients with type 2 diabetes and chronic kidney disease.

methodsWe present the population pharmacokinetics and pharmacodynamics (PD) analysis for efficacy and safety markers based on data from two clinical phase IIb studies: ARTS-DN (NCT01874431) and ARTS-DN Japan (NCT01968668).

resultsThe pharmacokinetics of finerenone were adequately characterized, with estimated glomerular filtration rate (eGFR) and body weight as influencing covariates. The area under the plasma concentration-time curve in Japanese patients did not differ from that in the global population, and the investigated pharmacokinetics were dose- and time-linear. In addition, the pharmacokinetic model provided robust individual exposure estimates to study exposure-response. The concentration-effect relationship over time for the efficacy marker urinary albumin:creatinine ratio (UACR) was well-characterized by a maximum effect model indicating saturation at high exposures. For the safety markers, a log-linear model and a power model were identified for serum potassium concentration and eGFR, respectively, indicating attenuation of effect gains at high exposures. There was no apparent ethnic effect on the investigated pharmacokinetic-pharmacodynamic relationships. The model-predicted times to reach the full (99%) steady-state drug effect on UACR, serum potassium, and eGFR were 138, 20, and 85 days, respectively, while the pharmacokinetic half-life was 2-3 h and steady state was achieved after 2 days, indicating timescale separation.

conclusionOur dose-exposure-response modeling and simulation indicates effects were largely saturated at finerenone 20 mg and doses of both 10 and 20 mg once daily appear safe and efficacious at reducing albuminuria.

Indexed as

AdultAgedAlbuminsAlbuminuriaArea Under CurveBody WeightCreatinineDiabetes Mellitus, Type 2Dose-Response Relationship, DrugGlomerular Filtration RateHalf-LifeHumansJapanMiddle AgedMineralocorticoid Receptor AntagonistsModels, TheoreticalAlbuminsCreatininefinerenoneMineralocorticoid Receptor AntagonistsNaphthyridinesPotassium

Identifiers

PMID31583611
PMCPMC7051931

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.