Evidence map›Paper›PMID 28733862›Full record

ArticleThe AAPS journal2017

Recommendations for Systematic Statistical Computation of Immunogenicity Cut Points.

Viswanath Devanarayan, Wendell C Smith, Rocco L Brunelle, Mary E Seger, Kim Krug, Ronald R Bowsher

Abstract read
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In one paragraph

Article in The AAPS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

50 citing papers in PubMed, 90 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

6 authors at 2 institutions in 1 country.

Viswanath DevanarayanAbbvie, Inc, North Chicago, Illinois, USA.
Wendell C SmithB2S Consulting, 6656 Flowstone Way, Indianapolis, Indiana, 46237, USA.
Rocco L BrunelleB2S Consulting, 6656 Flowstone Way, Indianapolis, Indiana, 46237, USA.
Mary E SegerB2S Consulting, 6656 Flowstone Way, Indianapolis, Indiana, 46237, USA.
Kim KrugB2S Consulting, 6656 Flowstone Way, Indianapolis, Indiana, 46237, USA.
Ronald R BowsherB2S Consulting, 6656 Flowstone Way, Indianapolis, Indiana, 46237, USA. Ron.Bowsher@B2SLifeSciences.com.
ABS Consulting (United States) · USAbbVie (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, the assessment of immunogenicity is integral in nonclinical and clinical testing of new biotherapeutics and biosimilars. A key component in the risk-based evaluation of immunogenicity involves the detection and characterization of anti-drug antibodies (ADA). Over the past couple of decades, much progress has been made in standardizing the generalized approach for ADA testing with a three-tiered testing paradigm involving screening, confirmation, and quasi-quantitative titer assessment representing the typical harmonized scheme. Depending on a biotherapeutic's structural attributes, more characterization and testing may be appropriate. Unlike bioanalytical assays used to support the evaluation of pharmacokinetics or toxicokinetics, an important component in immunogenicity testing is the calculation of cut points for the identification (screening), confirmation (specificity), and titer assessment responses in animals and humans. Several key publications have laid an excellent foundation for statistical design and data analysis to determine immunogenicity cut points. Yet, the process for statistical determination of cut points remains a topic of active discussion by investigators who conduct immunogenicity assessments to support biotherapeutic drug development. In recent years, we have refined our statistical approach to address the challenges that have arisen due to the evolution in biotherapeutics and the analytical technologies used for quasi-quantitative detection. Based on this collective experience, we offer a simplified statistical analysis process and flow-scheme for cut point evaluations that should work in a large majority of projects to provide reliable estimates for the screening, confirmatory, and titering cut points.

Indexed as

Data Interpretation, StatisticalAntibodies, NeutralizingBiological TherapyHumansAntibodies, Neutralizinganti-drug antibodycut pointsimmunogenicityoutliersvalidation

Identifiers

PMID28733862
OpenAlexW2737225321

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.