Evidence map›Paper›PMID 36530581›Full record

ArticlePlacenta and reproductive medicine2022

Organ-on-a-chip for perinatal biology experiments.

Ramkumar Menon, Lauren Richardson

Open access · diamondAbstract read
In one paragraph

Article in Placenta and reproductive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. Article
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

2 authors at 1 institution in 1 country.

Ramkumar MenonDepartment of Obstetrics & Gynecology, Division of Basic Science and Translational Research, The University of Texas Medical Branch at Galveston, Galveston 77555 TX, USA.
Lauren RichardsonDepartment of Obstetrics & Gynecology, Division of Basic Science and Translational Research, The University of Texas Medical Branch at Galveston, Galveston 77555 TX, USA.
The University of Texas Medical Branch at Galveston · US

Funding

Intercellular interactions define cell migrations and transitions that maintain fetal membrane homeostasisR01HD100729 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HAN, ARUM, MENON, RAMKUMAR · 2020 to 2024
$2.6M
Developing extracellular vesicle based therapeutics against pre-term birth through the use of maternal-fetal interface on a chipUG3TR003283 · NCATS · TEXAS ENGINEERING EXPERIMENT STATION · PI HAN, ARUM, MENON, RAMKUMAR · 2020 to 2021
$1.5M
NCATS NIH HHS UG3 TR003283NICHD NIH HHS R01 HD100729
6 · The paper itself

Abstract

Cell culture and organ explant systems have traditionally been used by scientists in the reproductive biology and perinatal medicine area to address various research questions. Although most are unrelated to human pregnancy, animal models were also extensively used to study various mechanisms associated with pregnancy and parturition. However, limitations of traditional approaches have shifted the attention to the use of organ on a chip (OOC) technology. OOC platform simulates an organ using cells, and OOCs are biomimetic microfluidic systems comprising multiple cell types from an organ that mimic the environment of a physiological organ. OOC maintains intercellular interactions and helps to recreate organ physiology as expected for utero in perinatal medicine research. This short review introduces some basic concepts of OOC, and its utility based on some published reports.

Indexed as

fetal membranesmicrofluidicorgan systempregnancypreterm birth

Identifiers

PMID36530581
PMCPMC9757604
OpenAlexW4312066811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.