Evidence map›Paper›PMID 34715943›Full record

ReviewLaboratory animal research2021

Ventilator-induced lung-injury in mouse models: Is there a trap?

Jon Petur Joelsson, Saevar Ingthorsson, Jennifer Kricker, Thorarinn Gudjonsson, Sigurbergur Karason

Open access · diamondAbstract readReview
In one paragraph

Review in Laboratory animal research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 25 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 2 institutions in 1 country.

Jon Petur JoelssonStem Cell Research Unit, BioMedical Center, School of Health Sciences, University of Iceland, Reykjavik, Iceland. jpj@hi.is.ORCID http://orcid.org/0000-0002-3261-4504
Saevar IngthorssonDepartment of Laboratory Hematology, Landspitali-University Hospital, Reykjavik, Iceland.
Jennifer KrickerEpiEndo Pharmaceuticals, Seltjarnarnes, Iceland.
Thorarinn GudjonssonStem Cell Research Unit, BioMedical Center, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
Sigurbergur KarasonStem Cell Research Unit, BioMedical Center, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
Reykjavík University · ISAgricultural University of Iceland · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventilator-induced lung injury (VILI) is a serious acute injury to the lung tissue that can develop during mechanical ventilation of patients. Due to the mechanical strain of ventilation, damage can occur in the bronchiolar and alveolar epithelium resulting in a cascade of events that may be fatal to the patients. Patients requiring mechanical ventilation are often critically ill, which limits the possibility of obtaining patient samples, making VILI research challenging. In vitro models are very important for VILI research, but the complexity of the cellular interactions in multi-organ animals, necessitates in vivo studies where the mouse model is a common choice. However, the settings and duration of ventilation used to create VILI in mice vary greatly, causing uncertainty in interpretation and comparison of results. This review examines approaches to induce VILI in mouse models for the last 10 years, to our best knowledge, summarizing methods and key parameters presented across the studies. The results imply that a more standardized approach is warranted.

Indexed as

Acute lung injuryAnimal modelsMouse studiesVentilator-induced lung injury

Identifiers

PMID34715943
PMCPMC8554750
OpenAlexW3210722487

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.