Evidence map›Paper›PMID 34530672›Full record

ReviewmAbs

Allometric scaling of therapeutic monoclonal antibodies in preclinical and clinical settings.

Eva Germovsek, Ming Cheng, Craig Giragossian

Open access · goldAbstract readReview
In one paragraph

Review in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

3 authors at 3 institutions in 3 countries.

Eva GermovsekTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.ORCID 0000-0003-2935-0090
Ming ChengDevelopment Biologicals, Drug Metabolism And Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, US.
Craig GiragossianBiotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, US.
Boehringer Ingelheim (Germany) · DEBoehringer Ingelheim (Spain) · ESBoehringer Ingelheim (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constant technological advancement enabled the production of therapeutic monoclonal antibodies (mAbs) and will continue to contribute to their rapid expansion. Compared to small-molecule drugs, mAbs have favorable characteristics, but also more complex pharmacokinetics (PK), e.g., target-mediated nonlinear elimination and recycling by neonatal Fc-receptor. This review briefly discusses mAb biology, similarities and differences in PK processes across species and within human, and provides a detailed overview of allometric scaling approaches for translating mAb PK from preclinical species to human and extrapolating from adults to children. The approaches described here will remain vital in mAb drug development, although more data are needed, for example, from very young patients and mAbs with nonlinear PK, to allow for more confident conclusions and contribute to further growth of this field. Improving mAb PK predictions will facilitate better planning of (pediatric) clinical studies and enable progression toward the ultimate goal of expediting drug development.

Indexed as

Antibodies, MonoclonalAntineoplastic Agents, ImmunologicalAdultChildHumansInfant, NewbornModels, BiologicalAntibodies, MonoclonalAntineoplastic Agents, Immunologicalallometric scalingallometryextrapolationinterspecies scalingmonoclonal antibodypaediatricpediatricpre-clinicaltranslation

Identifiers

PMID34530672
PMCPMC8463036
OpenAlexW3199743437

What Socratic 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 Socratic graph.