Evidence map›Paper›PMID 37602738›Full record

ArticleAnimal models and experimental medicine2023

Plethysmograph training: A refinement for collection of respiration data in mice.

Jorid B Sørli, Karin S Hougaard, Niels Hadrup

Abstract read
In one paragraph

Article in Animal models and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Jorid B SørliChemical Work Environment, The National Research Centre for the Working Environment, Copenhagen, Denmark.ORCID 0000-0001-5453-433X
Karin S HougaardChemical Work Environment, The National Research Centre for the Working Environment, Copenhagen, Denmark.
Niels HadrupChemical Work Environment, The National Research Centre for the Working Environment, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhaled chemicals can harm the airways. Different effects can result in distinct changes in respiratory patterns; the type of change indicates where and how the respiratory system is affected. Furthermore, changes in respiratory patterns may be detected at much lower substance concentrations than those that cause more serious effects, such as histopathological changes. Changes in respiratory patterns can be studied experimentally by monitoring the breathing of mice placed in plethysmographs and exposing head-out to the test substance. The method is well established; however, it is not known if training mice in being restrained in the plethysmograph could increase the quality of data collection. Here we report the results of training mice to be restrained in plethysmographs for 5 consecutive days, with respect to body weight, respiratory parameters, and time spent in the plethysmograph, before they are removed because of unstable breathing patterns. The mice tolerated the procedure better (measured by time in the plethysmograph) on the second day of training than the first day. Training did not change the breathing parameters between days. Breathing parameters stabilized within 5 min after the mice were placed in the plethysmographs on all days. There was an average of 3% weight loss between the first and last days of the training, indicating that the training procedure placed some strain on the animals. Training reduces the number of mice attempting to escape from the plethysmograph.

Indexed as

RespirationRespiratory RateAnimalsBody WeightData CollectionMiceWeight LossAlarie assayrefinementsensory irritation

Identifiers

PMID37602738
PMCPMC10486321

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Registered trials

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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.