Evidence map›Paper›PMID 40820573›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Toward a Quantitative Understanding of Aficamten Clinical Pharmacology: Population Pharmacokinetic Modeling.

Donghong Xu, Hanbin Li, Stephen B Heitner, Daniel L Jacoby, Stuart Kupfer, Polina German, Justin Lutz

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Clinical Evaluation of Drug-Drug Interactions With Aficamten.Clinical and translational science · 2026
    Article
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

7 authors.

Donghong XuClinical Pharmacology, Cytokinetics, South San Francisco, California, USA.ORCID 0009-0000-9678-0133
Hanbin LiQuanTx Consulting, Mountainview, California, USA.
Stephen B HeitnerClinical Research, Cytokinetics, South San Francisco, California, USA.
Daniel L JacobyClinical Research, Cytokinetics, South San Francisco, California, USA.
Stuart KupferClinical Research, Cytokinetics, South San Francisco, California, USA.
Polina GermanClinical Pharmacology, Cytokinetics, South San Francisco, California, USA.
Justin LutzClinical Pharmacology, Cytokinetics, South San Francisco, California, USA.ORCID 0009-0009-9353-9139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aficamten is a next-in-class, cardiac myosin inhibitor in development as a potential chronic oral treatment for patients with hypertrophic cardiomyopathy (HCM). A population pharmacokinetic (PK) model was developed using data from nine clinical studies to characterize aficamten PK and identify covariates that may alter aficamten exposure. Aficamten PK was best described by a 2-compartment model with linear elimination and first-order absorption following a time lag (Tlag). Population parameter estimates for a typical male participant with obstructive HCM (oHCM) and weighing 80 kg were: apparent clearance (CL/F), 2.62 L/h; apparent volume of the central compartment (Vc/F), 18.1 L; apparent intercompartmental clearance (Q/F), 57.6 L/h; and apparent volume of the peripheral compartment (Vp/F), 295 L. Estimated interindividual variability on CL/F and overall residual error (includes within-subject variability) was low; the coefficient of variation was 28.7% and 20.3%, respectively. Body weight on volume and clearance, population and sex on CL/F and Vp/F were identified as statistically significant covariates. A male patient with a baseline body weight of 56 kg (5th percentile of the population) exhibited a 23% higher AUC

Indexed as

Cardiomyopathy, HypertrophicModels, BiologicalAdultAgedFemaleHumansMaleMiddle Agedcardiovascular diseaseclinical trialsinhibitorsmodelingpopulation pharmacokineticssimulation

Identifiers

PMID40820573
PMCPMC12706416

What OpenQuestion holds

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Registered trials

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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.