Evidence map›Paper›PMID 33669950›Full record

ReviewMicromachines2021

Potential of Drug Efficacy Evaluation in Lung and Kidney Cancer Models Using Organ-on-a-Chip Technology.

Seong-Hye Hwang, Sangchul Lee, Jee Yoon Park, Jessie Sungyun Jeon, Young-Jae Cho, Sejoong Kim

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Seong-Hye HwangDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Sangchul LeeDepartment of Urology, Seoul National University College of Medicine, Seoul 03080, Korea.
Jee Yoon ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Korea.
Jessie Sungyun JeonDepartment of Mechanical Engineering, KAIST, Daejeon 34141, Korea.ORCID 0000-0001-6690-5775
Young-Jae ChoDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Sejoong KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0002-7238-9962

Funding

Ministry of Trade, Industry & Energy (MOTIE, Korea). 20008413
6 · The paper itself

Abstract

Organ-on-a-chip (OoC) is an exponential technology with the potential to revolutionize disease, toxicology research, and drug discovery. Recent advances in OoC could be utilized for drug screening in disease models to evaluate the efficacy of new therapies and support new tools for the understanding of disease mechanisms. Rigorous validation of this technology is required to determine whether OoC models may represent human-relevant physiology and predict clinical outcomes in target disease models. Achievements in the OoC field could reveal exciting new avenues for drug development and discovery. This review attempts to highlight the benefits of OoC as per our understanding of the cellular and molecular pathways in lung and kidney cancer models, and discusses the challenges in evaluating drug efficacy.

Indexed as

cancer modelsdrug efficacydrug testingmicrofluidics technologiesorgan-on-a-chip

Identifiers

PMID33669950
PMCPMC7924856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.