A single compartment model to describe lung functionality: A comprehensive study.

Husam Y Al-Hetari, Mahmoud A Al-Rumaima, Hamdi H Ghazi, Noman Q Al-Naggar, E A Ali, Abdu Alameri

Abstract readReview

In one paragraph

Review in Physiological reports, 2026. 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

6 authors.

Husam Y Al-HetariDepartment of Biomedical Engineering, Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.

Mahmoud A Al-RumaimaDepartment of Biomedical Engineering, Faculty of Engineering and Computing, University of Science and Technology, Aden, Yemen.ORCID 0009-0005-3656-0311

Hamdi H GhaziDepartment of Biomedical Engineering, Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.

Noman Q Al-NaggarDepartment of Biomedical Engineering, Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.

E A AliDepartment of Biomedical Engineering, Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.

Abdu AlameriDepartment of Biomedical Engineering, Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.ORCID 0000-0002-9920-4892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical Ventilation (MV) is a critical medical intervention used to support patients with impaired lung function caused by severe conditions such as pneumonia or COVID-19. Model-based Methods, particularly computational models, are employed to simulate and analyze lung mechanics under MV. Among these, the Single Compartment Lung Model (SCLM) remains the most commonly adopted framework for replicating lung behavior during MV, facilitating optimal treatment strategies. This review critically analyzes existing literatures on SCLM applications, focusing on key parameters such as lung elastance (E), airway resistance (R

Indexed as

COVID-19LungModels, BiologicalRespiration, ArtificialAirway ResistanceHumansRespiratory Mechanicslung elastancelung functionmechanical ventilationmodel‐based methodspressure Control ventilationrespiratory system compliancesingle compartment lung modelvolume control ventilation

Identifiers

PMID41846399

DOI10.14814/phy2.70832

PMCPMC13098109

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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.