Evidence map›Paper›PMID 32170579›Full record

ReviewClinical pharmacokinetics2020

Pharmacokinetic Variability of Therapeutic Antibodies in Humans: A Comprehensive Review of Population Pharmacokinetic Modeling Publications.

Amina Bensalem, David Ternant

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 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

2 authors at 1 institution in 1 country.

Amina BensalemUniversité de Tours, EA 7501 GICC, Tours, France.
David TernantUniversité de Tours, EA 7501 GICC, Tours, France. david.ternant@univ-tours.fr.ORCID 0000-0003-4020-4545
Université de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacokinetics of monoclonal antibodies is highly variable among patients. Several factors of variability, referred to as covariates in pharmacokinetic modeling, are known to influence this variability, such as body size, sex, antigen mass, serum albumin levels, or the presence of anti-drug antibodies. We propose a quantitative overview of the occurrence of assessment and detection of the main covariates associated with monoclonal antibody pharmacokinetics by comprehensively examining all population pharmacokinetic studies of monoclonal antibodies in humans. If some covariates are often assessed and detected (such as body size, antigen mass, or serum albumin levels), others are less frequently assessed but still may be relevant (e.g., anti-drug antibodies or endogenous immunoglobulin G levels). There is still a large heterogeneity in the relevance, availability, measurement, coding, detection, and interpretation of covariates. These issues deserve thorough investigation, which will help to design the optimal dosing strategy for every monoclonal antibody during its entire lifespan.

Indexed as

Antibodies, MonoclonalAntigensHumansModels, BiologicalAntibodies, MonoclonalAntigens

Identifiers

PMID32170579
OpenAlexW3011085857

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.