Evidence map›Paper›PMID 30923586›Full record

ArticleJournal of pharmaceutical innovation2019

Economic Analysis of Batch and Continuous Biopharmaceutical Antibody Production: A Review.

Ou Yang, Maen Qadan, Marianthi Ierapetritou

Abstract read
In one paragraph

Article in Journal of pharmaceutical innovation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

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  18. Towards advanced bioprocess optimization: A multiscale modelling approach.Computational and structural biotechnology journal · 2023
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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.

Ou YangDepartment of Chemical and Biochemical Engineering, Rutgers-The State University of New Jersey, 98 Brett Road, Piscataway, New Jersey 08854-8058, United States.
Maen QadanEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, United States.
Marianthi IerapetritouDepartment of Chemical and Biochemical Engineering, Rutgers-The State University of New Jersey, 98 Brett Road, Piscataway, New Jersey 08854-8058, United States.

Funding

Advanced continuous upstream manufacturing of biotherapeuticsR01FD006588 · FDA · UNIVERSITY OF DELAWARE · PI IERAPETRITOU, MARIANTHI · 2018 to 2020
$1.8M
FDA HHS R01 FD006588
6 · The paper itself

Abstract

purposeThere is a growing interest in continuous biopharmaceutical processing due to the advantages of small footprint, increased productivity, consistent product quality, high process flexibility and robustness, facility cost-effectiveness, and reduced capital and operating cost. To support the decision making of biopharmaceutical manufacturing, comparisons between conventional batch and continuous processing are provided.

methodsVarious process unit operations in different operating modes are summarized. Software implementation, as well as computational methods used, are analyzed pointing to the advantages and disadvantages that have been highlighted in the literature. Economic analysis methods and their applications in different parts of the processes are also discussed with examples from publications in the last decade.

resultsThe results of the comparison between batch and continuous process operation alternatives are discussed. Possible improvements in process design and analysis are recommended. The methods used here do not reflect Lilly's cost structures or economic evaluation methods.

conclusionThis paper provides a review of the work that has been published in the literature on computational process design and economic analysis methods on continuous biopharmaceutical antibody production and its comparison with a conventional batch process.

Indexed as

antibody productionbatch and continuous biopharmaceutical manufacturingeconomic analysissimulation software

Identifiers

PMID30923586
PMCPMC6432653

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Registered trials

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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.