Evidence map›Paper›PMID 29484520›Full record

ReviewThe AAPS journal2018

Reporting, Visualization, and Modeling of Immunogenicity Data to Assess Its Impact on Pharmacokinetics, Efficacy, and Safety of Monoclonal Antibodies.

Chaitali Passey, Satyendra Suryawanshi, Kinjal Sanghavi, Manish Gupta

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 14 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

4 authors at 1 institution in 1 country.

Chaitali PasseyClinical Pharmacology & Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Satyendra SuryawanshiClinical Pharmacology & Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Kinjal SanghaviClinical Pharmacology & Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Manish GuptaClinical Pharmacology & Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA. Manish.Gupta-LVL@bms.com.
Bristol-Myers Squibb (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapidly increasing number of therapeutic biologics in development has led to a growing recognition of the need for improvements in immunogenicity assessment. Published data are often inadequate to assess the impact of an antidrug antibody (ADA) on pharmacokinetics, safety, and efficacy, and enable a fully informed decision about patient management in the event of ADA development. The recent introduction of detailed regulatory guidance for industry should help address many past inadequacies in immunogenicity assessment. Nonetheless, careful analysis of gathered data and clear reporting of results are critical to a full understanding of the clinical relevance of ADAs, but have not been widely considered in published literature to date. Here, we review visualization and modeling of immunogenicity data. We present several relatively simple visualization techniques that can provide preliminary information about the kinetics and magnitude of ADA responses, and their impact on pharmacokinetics and clinical endpoints for a given therapeutic protein. We focus on individual sample- and patient-level data, which can be used to build a picture of any trends, thereby guiding analysis of the overall study population. We also discuss methods for modeling ADA data to investigate the impact of immunogenicity on pharmacokinetics, efficacy, and safety.

Indexed as

Models, BiologicalAntibodies, MonoclonalAntibodies, NeutralizingBiological ProductsData AnalysisGuidelines as TopicHumansImmune System DiseasesNeoplasmsTreatment OutcomeAntibodies, MonoclonalAntibodies, NeutralizingBiological ProductsADAantidrug antibodiesimmunogenicityneutralizing antibodies

Identifiers

PMID29484520
OpenAlexW2794416752

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.