Evidence map›Paper›PMID 35213976›Full record

ArticlePharmaceutics2022

Model-Based Equivalent Dose Optimization to Develop New Donepezil Patch Formulation.

Woojin Jung, Heeyoon Jung, Ngoc-Anh Thi Vu, Gwan-Young Kim, Gyoung-Won Kim, Jung-Woo Chae, Taeheon Kim, Hwi-Yeol Yun

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Woojin JungCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.
Heeyoon JungCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.
Ngoc-Anh Thi VuCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.
Gwan-Young KimLife Science Research Institute, Daewoong Pharmaceuticals, Yongin-si 17028, Korea.
Gyoung-Won KimLife Science Research Institute, Daewoong Pharmaceuticals, Yongin-si 17028, Korea.
Jung-Woo ChaeCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0001-6026-7063
Taeheon KimCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.
Hwi-Yeol YunCollege of Pharmacy, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0001-8793-2449
Chungnam National University · KRDaewoong Pharmaceutical (South Korea) · KR

Funding

Chungnam National University noneInstitute of Information and Communications Technology Planning and Evaluation MSIT; No.2020-0-01441
6 · The paper itself

Abstract

Donepezil patch was developed to replace the original oral formulation. To accurately describe the pharmacokinetics of donepezil and investigate compatible doses between two formulations, a population pharmacokinetic model for oral and transdermal patches was built based on a clinical study. Plasma donepezil levels were analyzed via liquid chromatography/tandem mass spectrometry. Non-compartmental analyses were performed to derive the initial parameters for compartmental analyses. Compartmental analysis (CA) was performed with NLME software NONMEM assisted by Perl-speaks-NONMEM, and R. Model evaluation was proceeded via visual predictive checks (VPC), goodness-of-fit (GOF) plotting, and bootstrap method. The bioequivalence test was based on a 2 × 2 crossover design, and parameters of AUC and C

Indexed as

donepezilequivalent dose optimizationmodel-based approachestransdermal patch

Identifiers

PMID35213976
PMCPMC8880217
OpenAlexW4206337285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.