Evidence map›Paper›PMID 32716388›Full record

ArticleJournal of visualized experiments : JoVE2020

Use of an Integrated Low-Flow Anesthetic Vaporizer, Ventilator, and Physiological Monitoring System for Rodents.

Krista Bigiarelli, Luke E Schepers, Arvin H Soepriatna, Dave FitzMiller, Craig J Goergen

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Krista BigiarelliPre-Clinical Research and Development, Kent Scientific Corporation; kbigiarelli@kentscientific.com.
Luke E SchepersWeldon School of Biomedical Engineering, Purdue University.
Arvin H SoepriatnaWeldon School of Biomedical Engineering, Purdue University.
Dave FitzMillerMarketing Research and Development, Kent Scientific Corporation.
Craig J GoergenWeldon School of Biomedical Engineering, Purdue University.
Kent Scientific Corporation (United States)

Funding

Interdisciplinary Bioengineering Training in Diabetes ResearchT32DK101001 · NIDDK · PURDUE UNIVERSITY · PI EVANS-MOLINA, CARMELLA, VOYTIK-HARBIN, SHERRY L · 2013 to 2022
$1.6M
NIDDK NIH HHS T32 DK101001
6 · The paper itself

Abstract

Low-flow digital vaporizers commonly utilize a syringe pump to directly administer volatile anesthetics into a stream of carrier gas. Per animal welfare recommendations, animals are warmed and monitored during procedures requiring anesthesia. Common anesthesia and physiological monitoring equipment include gas tanks, anesthetic vaporizers and stands, warming controllers and pads, mechanical ventilators, and pulse oximeters. A computer is also necessary for data collection and to run equipment software. In smaller spaces or when performing field work, it can be challenging to configure all this equipment in limited space. The goal of this protocol is to demonstrate best practices for use of a low-flow digital vaporizer using both compressed oxygen and room air, along with an integrated mechanical ventilator, pulse oximeter, and far infrared warming as an all-inclusive anesthesia and physiological monitoring suite ideal for rodents.

Indexed as

Nebulizers and VaporizersVentilators, MechanicalAnestheticsAnesthetics, InhalationAnimalsMonitoring, PhysiologicOxygenRodentiaAnestheticsAnesthetics, InhalationOxygen

Identifiers

PMID32716388
PMCPMC8176279
OpenAlexW3040867076

What OpenQuestion holds

Textmetadata
LicenceTDM
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.