Evidence map›Paper›PMID 22407287›Full record

ReviewThe AAPS journal2012

Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Peng Zou, Yanke Yu, Nan Zheng, Yongsheng Yang, Hayley J Paholak, Lawrence X Yu, Duxin Sun

Abstract readReview
In one paragraph

Review in The AAPS journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Prediction of a clinically effective dose of THY1773, a novel VBiopharmaceutics & drug disposition · 2021
    Trial
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. The Cannabinoid CBInternational journal of molecular sciences · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  20. Review
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.

Peng ZouDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, Michigan 48109, USA.
Yanke Yu
Nan Zheng
Yongsheng Yang
Hayley J Paholak
Lawrence X Yu
Duxin Sun

Funding

An integrated system for tumor detection and targeted drug therapy of cancerR01CA120023 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SUN, DUXIN · 2007 to 2011
$1.4M
NCI NIH HHS R01 CA120023
6 · The paper itself

Abstract

Quantitative estimations of first-in-human (FIH) doses are critical for phase I clinical trials in drug development. Human pharmacokinetic (PK) prediction methods have been developed to project the human clearance (CL) and bioavailability with reasonable accuracy, which facilitates estimation of a safe yet efficacious FIH dose. However, the FIH dose estimation is still very challenging and complex. The aim of this article is to review the common approaches for FIH dose estimation with an emphasis on PK-guided estimation. We discuss 5 methods for FIH dose estimation, 17 approaches for the prediction of human CL, 6 methods for the prediction of bioavailability, and 3 tools for the prediction of PK profiles. This review may serve as a practical protocol for PK- or pharmacokinetic/pharmacodynamic-guided estimation of the FIH dose.

Indexed as

AnimalsDose-Response Relationship, DrugForecastingHumansMetabolic Clearance RatePharmaceutical PreparationsProtein BindingSpecies SpecificityTissue DistributionPharmaceutical Preparations

Identifiers

PMID22407287
PMCPMC3326168

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.