ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2024
CPhaMAS: The first pharmacokinetic analysis cloud platform developed by China.
Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesSoftware for pharmacological modeling and statistical analysis is essential for drug development and individualized treatment modeling. This study aims to develop a pharmacokinetic analysis cloud platform that leverages cloud-based benefits, offering a user-friendly interface with a smoother learning curve.
methodsThe platform was built using Rails as the framework, developed in Julia language, and employs PostgreSQL 14 database, Redis cache, and Sidekiq for asynchronous task management. Four commonly used modules in clinical pharmacology research were developed: Non-compartmental analysis, bioequivalence/bioavailability analysis, compartment model analysis, and population pharmacokinetics modeling. The platform ensured comprehensive data security and traceability through multiple safeguards, including data encryption, access control, transmission encryption, redundant backups, and log management. The platform underwent basic function, performance, reliability, usability, and scalability testing, along with practical case studies.
resultsThe CPhaMAS cloud platform successfully implemented the 4 module functionalities. The platform provides a list-based navigation for users, featuring checkbox-style interactions. Through cloud computing, it allows direct online data analysis, saving computer storage and minimizing performance requirements. Modeling and visualization do not require programming knowledge. Basic functionality achieved 100% completion, with an average annual uptime of over 99%. Server response time was between 200 to 500 ms, and average CPU usage was maintained below 30%. In a practical case study, cefotaxime sodium/tazobactam sodium injection (6꞉1 ratio) displayd near-linear pharmacokinetics within a dose range of 1.0 to 4.0 g, with no significant effect of tazobactam on the pharmacokinetic parameters of cefotaxime, validating the platform's usability and reliability.
conclusionsCPhaMAS provides an integrated modeling and statistical tool for educators, researchers, and industrial professionals, enabling non-compartmental analysis, bioequivalence/bioavailability analysis, compartmental model building, and population pharmacokinetic modeling and simulation.
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.