Evidence map›Paper›PMID 23891988›Full record

SynthesisNanomedicine : nanotechnology, biology, and medicine2014

Meta-analysis of inter-patient pharmacokinetic variability of liposomal and non-liposomal anticancer agents.

Ryan F Schell, Brian J Sidone, Whitney P Caron, Mark D Walsh, Taylor F White, Beth A Zamboni, Ramesh K Ramanathan, William C Zamboni

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Nanomedicine : nanotechnology, biology, and medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Ultra-High-Precision,Frontiers in molecular biosciences · 2019
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. When Is It Important to Measure Unbound Drug in Evaluating Nanomedicine Pharmacokinetics?Drug metabolism and disposition: the biological fate of chemicals · 2016
    Review
  13. Cyclin-Dependent Kinase Inhibitor AT7519 as a Potential Drug for MYCN-Dependent Neuroblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
    Article
  14. Review
  15. Article
  16. Article
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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

8 authors at 5 institutions in 2 countries.

Ryan F SchellDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC, USA; Translational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA.
Brian J SidoneTranslational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA; Duquesne University Mylan School of Pharmacy.
Whitney P CaronDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC, USA; Translational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA.
Mark D WalshDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC, USA; Translational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA.
Taylor F WhiteDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC, USA; Translational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA.
Beth A ZamboniDepartment of Mathematics, Carlow University, Pittsburgh, Pennsylvania.
Ramesh K RamanathanThe Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
William C ZamboniDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina (UNC) Eshelman School of Pharmacy, Chapel Hill, NC, USA; Translational Oncology and Nanoparticle Drug Development Initiative (TOND(2)I) Lab, UNC, Chapel Hill, NC, USA; Molecular Therapeutics, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA; UNC GLP Bioanalytical Facility, Chapel Hill, NC, USA; Institute for Pharmacogenomics and Individualized Therapy (IPIT), Chapel Hill, NC, USA; Carolina Center of Cancer Nanotechnology Excellence (C-CCNE), Chapel Hill, NC, USA; North Carolina Biomedical Innovation Network (NC BIN), Chapel Hill, NC, USA. Electronic address: zamboni@email.unc.edu.
University of North Carolina at Chapel Hill · USCarlow University · USCarolina Institute for NanoMedicine · USMylan (India) · INTranslational Genomics Research Institute · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
NCI NIH HHS P30 CA016086
6 · The paper itself

Abstract

A meta-analysis was conducted to evaluate the inter-patient pharmacokinetic (PK) variability of liposomal and small molecule (SM) anticancer agents. Inter-patient PK variability of 9 liposomal and SM formulations of the same drug was evaluated. PK variability was measured as coefficient of variance (CV%) of area under the plasma concentration versus time curve (AUC) and the fold-difference between AUCmax and AUCmin (AUC range). CV% of AUC and AUC ranges were 2.7-fold (P<0.001) and 16.7-fold (P=0.13) greater, respectively, for liposomal compared with SM drugs. There was an inverse linear relationship between the clearance (CL) of liposomal agents and PK variability with a lower CL associated with greater PK variability (R(2)=0.39). PK variability of liposomal agents was greater when evaluated from 0-336 h compared with 0-24h. PK variability of liposomes is significantly greater than SM. The factors associated with the PK variability of liposomal agents need to be evaluated. FROM THE CLINICAL EDITOR: In this meta-analysis, the inter-patient pharmacokinetic variability of 9 liposomal and small molecule anti-cancer agents was studied. The authors determined that several parameters are in favor of the liposomal formulation; however, the PK variability of the formulation was higher compared with small molecule agents, the reason for which remains to be determined in future studies.

Indexed as

Antineoplastic AgentsArea Under CurveCamptothecinHumansLiposomesNeoplasmsAntineoplastic AgentsCamptothecinLiposomesCKD-602LiposomesPharmacokineticSampling schemaS-CKD602Variability

Identifiers

PMID23891988
PMCPMC3877184
OpenAlexW2052921232

What OpenQuestion holds

Textmetadata
LicenceTDM
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.