Trial reportClinical and translational science2020
Comparing Model Performance in Characterizing the PK/PD of the Anti-Myostatin Antibody Domagrozumab.
Trial report in Clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Bioanalytical methods in doping controls: a review.Bioanalysis · 2025Review
- Population PK and PD Analysis of Domagrozumab in Pediatric Patients with Duchenne Muscular Dystrophy.Clinical pharmacology and therapeutics · 2022Article
- Pharmacokinetic/pharmacodynamic modeling for dose selection for the first-in-human trial of the activated Factor XII inhibitor garadacimab (CSL312).Clinical and translational science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modeling and simulation provides quantitative information on target coverage for dose selection. Optimal model selection often relies on fit criteria and is not necessarily mechanistically driven. One such case is discussed where healthy volunteer data of an anti-myostatin monoclonal antibody domagrozumab were used to develop different target-mediated drug disposition models; a quasi-steady state (QSS) rapid binding approximation model, a Michaelis-Menten (MM)-binding kinetics (MM-BK) model, and an MM-indirect response (MM-IDR) model. Whereas the MM-BK model was identified as optimal in fitting the data, with all parameters estimated with high precision, the QSS model also converged but was not able to capture the nonlinear decline. Although the least mechanistic model, MM-IDR, had the lowest objective function value, the MM-BK model was further developed as it provided a reasonable fit and allowed simulations regarding growth differentiation factor-8 target coverage for phase II dose selection with sufficient certainty to allow for testing of the underlying mechanistic assumptions.
Indexed as
Identifiers
What OpenQuestion holds
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.