Evidence map›Paper›PMID 30627939›Full record

ArticleThe AAPS journal2019

What Does it Take to Make Model-Informed Precision Dosing Common Practice? Report from the 1st Asian Symposium on Precision Dosing.

Thomas M Polasek, Amin Rostami-Hodjegan, Dong-Seok Yim, Masoud Jamei, Howard Lee, Holly Kimko, Jae Kyoung Kim, Phuong Thi Thu Nguyen, Adam S Darwich, Jae-Gook Shin

Abstract read
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In one paragraph

Article in The AAPS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Virtual twin for healthcare management.Frontiers in digital health · 2023
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  16. Clinical pharmacology applications in clinical drug development and clinical care: A focus on Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
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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

10 authors.

Thomas M PolasekCertara, 100 Overlook Center, Suite 101, Princeton, New Jersey, 08540, USA. tom.polasek@certara.com.ORCID 0000-0003-1008-5223
Amin Rostami-HodjeganCertara, 100 Overlook Center, Suite 101, Princeton, New Jersey, 08540, USA.
Dong-Seok YimDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Masoud JameiCertara, 100 Overlook Center, Suite 101, Princeton, New Jersey, 08540, USA.
Howard LeeDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
Holly KimkoJanssen Research and Development, Lower Gwynedd Township, Pennsylvania, USA.
Jae Kyoung KimKorea Advanced Institute of Advanced Technology, Daedoek Innopolis, Daejeon, South Korea.
Phuong Thi Thu NguyenDepartment of Pharmacology and Clinical Pharmacology, Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.
Adam S DarwichCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK.
Jae-Gook ShinDepartment of Pharmacology and Clinical Pharmacology, Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-informed precision dosing (MIPD) is modeling and simulation in healthcare to predict the drug dose for a given patient based on their individual characteristics that is most likely to improve efficacy and/or lower toxicity in comparison to traditional dosing. This paper describes the background and status of MIPD and the activities at the 1st Asian Symposium of Precision Dosing. The theme of the meeting was the question, "What does it take to make MIPD common practice?" Formal presentations highlighted the distinction between genetic and non-genetic sources of variability in drug exposure and response, the use of modeling and simulation as decision support tools, and the facilitators to MIPD implementation. A panel discussion addressed the types of models used for MIPD, how the pharmaceutical industry views MIPD, ways to upscale MIPD beyond academic hospital centers, and the essential role of healthcare professional education as a way to progress. The meeting concluded with an ongoing commitment to use MIPD to improve patient care.

Indexed as

Dose-Response Relationship, DrugDrug Dosage CalculationsModels, BiologicalAsiaBiological Variation, PopulationCongresses as TopicHumansPharmacology, Clinical

Identifiers

What OpenQuestion holds

Textmetadata
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.