Evidence map›Paper›PMID 31263796›Full record

ReviewAPL bioengineering2019

Strategies for using mathematical modeling approaches to design and interpret multi-organ microphysiological systems (MPS).

Jong Hwan Sung, Ying Wang, Michael L Shuler

Abstract readReview
In one paragraph

Review in APL bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  18. Microtechnology-basedAPL bioengineering · 2021
    Review
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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.

Jong Hwan SungDepartment of Chemical Engineering, Hongik University, Seoul 04066, South Korea.ORCID https://orcid.org/0000-0002-4019-866X
Ying WangNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0000-0003-0236-5962

Funding

Populating MPS database with data from multi-organ, human-on-a-chip microphysiological systemsR44TR001326 · NCATS · HESPEROS, LLC · PI HICKMAN, JAMES J, SHULER, MICHAEL L · 2016 to 2021
$6.5M
An organotypic model recapitulating colon cancer microenvironment and metastasisU01CA214300 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HUANG, EMINA HUI-NA, SHEN, XILING · 2017 to 2021
$3.1M
NCATS NIH HHS R44 TR001326NCI NIH HHS U01 CA214300
6 · The paper itself

Abstract

Recent advances in organ-on-a-chip technology have resulted in numerous examples of microscale systems that faithfully mimic the physiology and pathology of human organs and diseases. The next step in this field, which has already been partially demonstrated at a proof-of-concept level, would be integration of organ modules to construct multiorgan microphysiological systems (MPSs). In particular, there is interest in "body-on-a-chip" models, which recapitulate complex and dynamic interactions between different organs. Integration of multiple organ modules, while faithfully reflecting human physiology in a quantitative sense, will require careful consideration of factors such as relative organ sizes, blood flow rates, cell numbers, and ratios of cell types. The use of a mathematical modeling platform will be an essential element in designing multiorgan MPSs and interpretation of experimental results. Also, extrapolation to

Identifiers

PMID31263796
PMCPMC6586554

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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.