Evidence map›Paper›PMID 38646196›Full record

ArticleData in brief2024

Pulmonary function testing dataset of pressure and flow, dynamic circumference, heart rate, and aeration monitoring.

Ella F S Guy, Isaac L Flett, Jaimey A Clifton, Trudy Calje-van der Klei, Rongqing Chen, Jennifer L Knopp, Knut Möller, J Geoffrey Chase

Abstract read
In one paragraph

Article in Data in brief, 2024. 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
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.

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

8 authors.

Ella F S GuyDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Isaac L FlettDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Jaimey A CliftonDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Trudy Calje-van der KleiDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Rongqing ChenInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany.
Jennifer L KnoppDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Knut MöllerInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany.
J Geoffrey ChaseDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory data was collected from 20 subjects, with an even sex distribution, in the low-risk clinical unit at the University of Canterbury. Ethical consent for this trial was granted by the University of Canterbury Human Research Ethics Committee (Ref: HREC 2023/30/LR-PS). Respiratory data were collected, for each subject, over three tests consisting of: 1) increasing set PEEP from a starting point of ZEEP using a CPAP machine; 2) test 1 repeated with two simulated apnoea's (breath holds) at each set PEEP; and 3) three forced expiratory manoeuvres at ZEEP. Data were collected using a custom pressure and flow sensor device, ECG, PPG, Garmin HRM Dual heartrate belt, and a Dräeger PulmoVista 500 Electrical Impedance Tomography (EIT) machine. Subject demographic data was also collected prior to the trial, in a questionnaire, with measurement equipment available. These data aim to inform the development of pulmonary mechanics models and titration algorithms.

Indexed as

AsthmaticsElectrical impedance tomographyPulmonary mechanicsSmokersSpirometryVapersVenturi

Identifiers

PMID38646196
PMCPMC11033070

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.