Evidence map›Paper›PMID 32390828›Full record

ReviewFrontiers in pharmacology2020

Precision Dosing Priority Criteria: Drug, Disease, and Patient Population Variables.

Rachel J Tyson, Christine C Park, J Robert Powell, J Herbert Patterson, Daniel Weiner, Paul B Watkins, Daniel Gonzalez

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

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

  1. Pooled it
  2. Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer.European journal of drug metabolism and pharmacokinetics · 2022
    Trial
  3. Article
  4. Biodistribution, Radiation Dosimetry, and Kinetic Modeling of [Pharmaceuticals (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
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  11. Article
  12. Review
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  15. Review
  16. QSAR Modeling for Predicting ICInternational journal of molecular sciences · 2025
    Article
  17. Article
  18. Biocompatible Poly(acrylic acid-ACS applied materials & interfaces · 2025
    Article
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

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

7 authors.

Rachel J TysonDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Christine C ParkDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
J Robert PowellDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
J Herbert PattersonDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Daniel WeinerDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Paul B WatkinsDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Daniel GonzalezDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

UNC-Duke Collaborative Clinical Pharmacology Postdoctoral Training Program-Evaluation SupplementT32GM086330 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KIM L.R. BROUWER, Daniel Gonzalez · 2011 to 2026
$8.5M
Physiologically-Based Pharmacokinetic Modeling to Guide Drug Dosing in Children with ObesityR01HD096435 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DUMOND, JULIE BRUMER · 2018 to 2022
$2.0M
Use of Physiologically-Based PK/PD Models to Streamline Drug ApprovalsK23HD083465 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GONZALEZ, DANIEL · 2015 to 2019
$727k
NICHD NIH HHS K23 HD083465NICHD NIH HHS R01 HD096435NIGMS NIH HHS T32 GM086330
6 · The paper itself

Abstract

The administered dose of a drug modulates whether patients will experience optimal effectiveness, toxicity including death, or no effect at all. Dosing is particularly important for diseases and/or drugs where the drug can decrease severe morbidity or prolong life. Likewise, dosing is important where the drug can cause death or severe morbidity. Since we believe there are many examples where more precise dosing could benefit patients, it is worthwhile to consider how to prioritize drug-disease targets. One key consideration is the quality of information available from which more precise dosing recommendations can be constructed. When a new more precise dosing scheme is created and differs significantly from the approved label, it is important to consider the level of proof necessary to either change the label and/or change clinical practice. The cost and effort needed to provide this proof should also be considered in prioritizing drug-disease precision dosing targets. Although precision dosing is being promoted and has great promise, it is underutilized in many drugs and disease states. Therefore, we believe it is important to consider how more precise dosing is going to be delivered to high priority patients in a timely manner. If better dosing schemes do not change clinical practice resulting in better patient outcomes, then what is the use? This review paper discusses variables to consider when prioritizing precision dosing candidates while highlighting key examples of precision dosing that have been successfully used to improve patient care.

Indexed as

biomarkersdisease statesdrug developmentindividualized dosingpharmacoeconomicspharmacokinetics/pharmacodynamicsprecision dosingtherapeutic index

Identifiers

PMID32390828
PMCPMC7188913

What OpenQuestion holds

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LicenceCC BY
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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.