Evidence map›Paper›PMID 37534107›Full record

ArticleBiomaterials and biosystems2023

Disruptive 3D in vitro models for respiratory disease investigation: A state-of-the-art approach focused on SARS-CoV-2 infection.

Maria Luiza Seixas, Cynthia Silva Bartolomeo, Robertha Lemes, Tiago Nicoliche, Liria Hiromi Okuda, Leonardo Martins, Rodrigo Ureshino, Carla Maximo Prado, Tácia Tavares Aquinas Liguori, Gabriel Romero Liguori and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomaterials and biosystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 4 institutions in 2 countries.

Maria Luiza SeixasDepartment of Physiological Sciences, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Cynthia Silva BartolomeoDepartment of Physiological Sciences, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Robertha LemesDepartment of Biological Sciences, Federal University of São Paulo, Diadema, Brazil.
Tiago NicolicheDepartment of Physiological Sciences, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Liria Hiromi OkudaBiological Institute, Agriculture and Supply Department, São Paulo, SP, Brazil.
Leonardo MartinsDivision of Medical Sciences, Laboratory of Transcriptional Regulation, Institute of Medical Biology of Polish Academy of Sciences (IMB-PAN), Poland.
Rodrigo UreshinoDepartment of Biological Sciences, Federal University of São Paulo, Diadema, Brazil.
Carla Maximo PradoDepartment of Biosciences, Federal University of São Paulo, Santos, Brazil.
Tácia Tavares Aquinas LiguoriTissueLabs Sagl, Manno, Switzerland.
Gabriel Romero LiguoriTissueLabs Sagl, Manno, Switzerland.
Roberta Sessa StilhanoDepartment of Physiological Sciences, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Faculdade de Ciências Médicas da Santa Casa de São Paulo · BRUniversidade Federal de São Paulo · BRInstituto Biológico · BRPolish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, along with most respiratory diseases in the medical field, demonstrates significant ability to take its toll on global population. There is a particular difficulty in studying these conditions, which stems especially from the short supply of

Indexed as

3D cultureACE2COVID-19MatriWellRespiratory diseasesSARS-CoV-2

Identifiers

PMID37534107
PMCPMC10391659
OpenAlexW4384461074

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.