Evidence map›Paper›PMID 37631308›Full record

ReviewPharmaceutics2023

Development of Organs-on-Chips and Their Impact on Precision Medicine and Advanced System Simulation.

Ying Luo, Xiaoxiao Li, Yawei Zhao, Wen Zhong, Malcolm Xing, Guozhong Lyu

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2023. 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.

  1. 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

6 authors.

Ying LuoBurn & Trauma Treatment Center, The Affiliated Hospital of Jiangnan University, Wuxi 214000, China.
Xiaoxiao LiBurn & Trauma Treatment Center, The Affiliated Hospital of Jiangnan University, Wuxi 214000, China.ORCID 0000-0003-1612-0691
Yawei ZhaoDepartment of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Wen ZhongDepartment of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Malcolm XingDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Guozhong LyuBurn & Trauma Treatment Center, The Affiliated Hospital of Jiangnan University, Wuxi 214000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drugs may undergo costly preclinical studies but still fail to demonstrate their efficacy in clinical trials, which makes it challenging to discover new drugs. Both in vitro and in vivo models are essential for disease research and therapeutic development. However, these models cannot simulate the physiological and pathological environment in the human body, resulting in limited drug detection and inaccurate disease modelling, failing to provide valid guidance for clinical application. Organs-on-chips (OCs) are devices that serve as a micro-physiological system or a tissue-on-a-chip; they provide accurate insights into certain functions and the pathophysiology of organs to precisely predict the safety and efficiency of drugs in the body. OCs are faster, more economical, and more precise. Thus, they are projected to become a crucial addition to, and a long-term replacement for, traditional preclinical cell cultures, animal studies, and even human clinical trials. This paper first outlines the nature of OCs and their significance, and then details their manufacturing-related materials and methodology. It also discusses applications of OCs in drug screening and disease modelling and treatment, and presents the future perspective of OCs.

Indexed as

ADME (absorption, distribution, metabolism, and excretion)AngioChipbone marrow-on-a-chipdrug screeningmaternal–foetal interfaceorgans-on-chipspersonalised treatment

Identifiers

PMID37631308
PMCPMC10460056

What OpenQuestion holds

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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.