Evidence map›Paper›PMID 26818483›Full record

ReviewClinical pharmacokinetics2016

Potential Sources of Inter-Subject Variability in Monoclonal Antibody Pharmacokinetics.

Katherine L Gill, Krishna K Machavaram, Rachel H Rose, Manoranjenni Chetty

Abstract readReview
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In one paragraph

Review in Clinical pharmacokinetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Looking backward to move forward: a chemist's perspective on the future of radiopharmaceuticals.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026
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  13. World journal of gastroenterology · 2025
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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

4 authors.

Katherine L GillSimcyp (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK.
Krishna K MachavaramSimcyp (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK.
Rachel H RoseSimcyp (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK.
Manoranjenni ChettySimcyp (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK. manoranjenni.chetty@certara.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding inter-subject variability in drug pharmacokinetics and pharmacodynamics is important to ensure that all patients attain suitable drug exposure to achieve efficacy and avoid toxicity. Inter-subject variability in the pharmacokinetics of therapeutic monoclonal antibodies (mAbs) is generally moderate to high; however, the factors responsible for the high inter-subject variability have not been comprehensively reviewed. In this review, the extent of inter-subject variability for mAb pharmacokinetics is presented and potential factors contributing to this variability are explored and summarised. Disease status, age, sex, ethnicity, body size, genetic polymorphisms, concomitant medication, co-morbidities, immune status and multiple other patient-specific details have been considered. The inter-subject variability for mAb pharmacokinetics most likely depends on the complex interplay of multiple factors. However, studies aimed at investigating the reasons for the inter-subject variability are sparse. Population pharmacokinetic models and physiologically based pharmacokinetic models are useful tools to identify important covariates, aiding in the understanding of factors contributing to inter-subject variability. Further understanding of inter-subject variability in pharmacokinetics should aid in development of dosing regimens that are more appropriate.

Indexed as

Models, BiologicalAge FactorsAntibodies, MonoclonalBody Weights and MeasuresComorbidityDose-Response Relationship, DrugDrug InteractionsEthnicityHistocompatibility Antigens Class IHumansLymphatic SystemPolymorphism, GeneticReceptors, FcSeverity of Illness IndexSex FactorsAntibodies, MonoclonalFc receptor, neonatalHistocompatibility Antigens Class IReceptors, Fc

Identifiers

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.