Evidence map›Paper›PMID 30404405›Full record

ReviewMicromachines2016

Microfabricated Physiological Models for In Vitro Drug Screening Applications.

Giovanni Stefano Ugolini, Daniela Cruz-Moreira, Roberta Visone, Alberto Redaelli, Marco Rasponi

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 22 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

5 authors at 1 institution in 1 country.

Giovanni Stefano UgoliniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy. giovannistefano.ugolini@polimi.it.
Daniela Cruz-MoreiraDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy. daniela.cruzmoreira@polimi.it.
Roberta VisoneDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy. roberta.visone@polimi.it.
Alberto RedaelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy. alberto.redaelli@polimi.it.
Marco RasponiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy. marco.rasponi@polimi.it.
Politecnico di Milano · IT

Funding

European Commission MSCA-ITN-ETN n.642458
6 · The paper itself

Abstract

Microfluidics and microfabrication have recently been established as promising tools for developing a new generation of in vitro cell culture microdevices. The reduced amounts of reagents employed within cell culture microdevices make them particularly appealing to drug screening processes. In addition, latest advancements in recreating physiologically relevant cell culture conditions within microfabricated devices encourage the idea of using such advanced biological models in improving the screening of drug candidates prior to in vivo testing. In this review, we discuss microfluidics-based models employed for chemical/drug screening and the strategies to mimic various physiological conditions: fine control of 3D extra-cellular matrix environment, physical and chemical cues provided to cells and organization of co-cultures. We also envision future directions for achieving multi-organ microfluidic devices.

Indexed as

drug screeningmicrofluidicsorgan-on-chipsphysiological models

Identifiers

PMID30404405
PMCPMC6189704
OpenAlexW2565726871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.