Evidence map›Paper›PMID 37824334›Full record

ArticlemAbs

Utility of physiologically based pharmacokinetic modeling to predict inter-antibody variability in monoclonal antibody pharmacokinetics in mice.

Shufang Liu, Sara C Humphreys, Kevin D Cook, Kip P Conner, Ana R Correia, Alex W Jacobitz, Melissa Yang, Ronya Primack, Marcus Soto, Rupa Padaki and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 1 institution in 1 country.

Shufang LiuDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.
Sara C HumphreysDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.
Kevin D CookDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.
Kip P ConnerDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.
Ana R CorreiaTherapeutic Discovery, Amgen, Thousand Oaks, CA, USA.
Alex W JacobitzProcess Development, Amgen Inc, Thousand Oaks, CA, USA.
Melissa YangTherapeutic Discovery, Amgen, Thousand Oaks, CA, USA.
Ronya PrimackDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, Thousand Oaks, CA, USA.
Marcus SotoDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, Thousand Oaks, CA, USA.
Rupa PadakiProcess Development, Amgen Inc, Thousand Oaks, CA, USA.
Mariusz LubomirskiGlobal Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA.
Richard SmithDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.
Marissa MockTherapeutic Discovery, Amgen, Thousand Oaks, CA, USA.
Veena A ThomasDepartment of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA.ORCID 0000-0002-5202-6697
Amgen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this investigation, we tested the hypothesis that a physiologically based pharmacokinetic (PBPK) model incorporating measured

Indexed as

Antibodies, MonoclonalModels, BiologicalAnimalsBiological AssayHeparinMicePinocytosisAntibodies, MonoclonalHeparinMonoclonal antibodiespharmacokineticsphysiochemicalphysiologically based pharmacokinetic modelingvariability

Identifiers

PMID37824334
PMCPMC10572049
OpenAlexW4387569738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.