Evidence map›Paper›PMID 35215240›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

Development and Validation of Open-Source R Package HMCtdm for Therapeutic Drug Monitoring.

Sooyoung Lee, Moonsik Song, Woojae Lim, Eunjung Song, Jongdae Han, Bo-Hyung Kim

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. 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. 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

6 authors.

Sooyoung LeeDepartment of Life and Nanopharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0002-4800-4348
Moonsik SongDepartment of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Woojae LimDepartment of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0003-2726-5474
Eunjung SongDepartment of Clinical Pharmacology and Therapeutics, Kyung Hee University Medical Center, Seoul 02447, Korea.ORCID 0000-0001-9321-5120
Jongdae HanDepartment of Computer Science, Sangmyung University, Seoul 03016, Korea.ORCID 0000-0002-5223-455X
Bo-Hyung KimDepartment of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0003-3233-2918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most therapeutic drug monitoring (TDM) packages are based on the maximum a posteriori (MAP) estimation. In this study, HMCtdm, a new TDM package, was developed using a Hamiltonian Monte Carlo (HMC) simulation. The estimation process of HMCtdm for the drugs amikacin, vancomycin, theophylline, and phenytoin was based on the R package Torsten. The prior pharmacokinetic (PK) models of the drugs were derived from the Abbottbase

Indexed as

Bayesian methodHMCMAPpharmacokineticsimulation

Identifiers

PMID35215240
PMCPMC8875672

What OpenQuestion holds

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Registered trials

None linked

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.