Evidence map›Paper›PMID 31152241›Full record

ArticlePharmaceutical research2019

Interlaboratory Variability in Human Hepatocyte Intrinsic Clearance Values and Trends with Physicochemical Properties.

Christine M Bowman, Leslie Z Benet

Abstract readComparative Study
In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Identifying xenobiotic metabolites withFrontiers in toxicology · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

2 authors.

Christine M BowmanDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA.
Leslie Z BenetDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA. Leslie.Benet@ucsf.edu.ORCID http://orcid.org/0000-0002-9678-2371

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Y. Chen · 1986 to 2026
$30.7M
National Institutes of Health (US) DK026743National Science Foundation 1144247NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

purposeTo examine the interlaboratory variability in CL

methodsData for 50 compounds from 14 papers were compiled with physicochemical and pharmacokinetic parameter values taken from various sources.

resultsCoefficients of variation were as high as 99.8% for individual compounds and variation was not dependent on the number of prediction values included in the analysis. When examining median values, it appeared that compounds with a lower number of rotatable bonds had more variability. When examining prediction uniformity, those compounds with uniform in vivo underpredictions had higher CL

conclusionsCaution should be taken when compiling in vitro CL

Indexed as

PharmacokineticsChemical PhenomenaComputational BiologyDatabases, PharmaceuticalHepatocytesHumansMetabolic Clearance RateMicrosomes, LiverModels, BiologicalPharmaceutical PreparationsProtein BindingPharmaceutical Preparationshepatocytesintrinsic clearancein vitro-in vivo extrapolationvariability

Identifiers

PMID31152241
PMCPMC7191673

What OpenQuestion holds

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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.