Evidence map›Paper›PMID 27834047›Full record

ReviewThe AAPS journal2017

Physiologically Based Pharmacokinetic (PBPK) Modeling of Pharmaceutical Nanoparticles.

Min Li, Peng Zou, Katherine Tyner, Sau Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Materials today. Bio · 2025
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  15. Phototherapy in cancer treatment: strategies and challenges.Signal transduction and targeted therapy · 2025
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12 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

4 authors.

Min LiOffice of Pharmaceutical Quality, US Food and Drug Administration, Silver Spring, Maryland, USA.
Peng ZouOffice of Clinical Pharmacology, US Food and Drug Administration, Silver Spring, Maryland, USA. peng.zou@fda.hhs.gov.
Katherine TynerOffice of Pharmaceutical Quality, US Food and Drug Administration, Silver Spring, Maryland, USA.
Sau LeeOffice of Pharmaceutical Quality, US Food and Drug Administration, Silver Spring, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the great interests in the discovery and development of drug products containing nanoparticles, there is a great demand of quantitative tools for assessing quality, safety, and efficacy of these products. Physiologically based pharmacokinetic (PBPK) modeling and simulation approaches provide excellent tools for describing and predicting in vivo absorption, distribution, metabolism, and excretion (ADME) of nanoparticles administered through various routes. PBPK modeling of nanoparticles is an emerging field, and more than 20 PBPK models of nanoparticles used in pharmaceutical products have been published in the past decade. This review provides an overview of the ADME characteristics of nanoparticles and how these ADME processes are described in PBPK models. Recent advances in PBPK modeling of pharmaceutical nanoparticles are summarized. The major challenges in model development and validation and possible solutions are also discussed.

Indexed as

Models, BiologicalPharmacokineticsAnimalsBiological TransportDrug EvaluationHumansMetabolic Clearance RateNanoparticlesPharmaceutical PreparationsPharmaceutical Preparationsmodel extrapolationMPS uptakenanoparticlePBPK modeling

Identifiers

PMID27834047

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.