Evidence map›Paper›PMID 34435276›Full record

Observational studyAnnals of biomedical engineering2021

Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients.

Jay Wing Wai Lee, Yeong Shiong Chiew, Xin Wang, Chee Pin Tan, Mohd Basri Mat Nor, Nor Salwa Damanhuri, J Geoffrey Chase

Abstract readObservational Study
In one paragraph

Observational study in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Jay Wing Wai LeeSchool of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia. jay.lee1@monash.edu.ORCID http://orcid.org/0000-0001-7091-9619
Yeong Shiong ChiewSchool of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia. chiew.yeong.shiong@monash.edu.
Xin WangSchool of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia.
Chee Pin TanSchool of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia.
Mohd Basri Mat NorKulliyah of Medicine, International Islamic University Malaysia, 25200, Kuantan, Pahang, Malaysia.
Nor Salwa DamanhuriFaculty of Electrical Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, 13500, Bukit Bertajam, Pulau Pinang, Malaysia.
J Geoffrey ChaseCenter of Bioengineering, University of Canterbury, Christchurch, 8041, New Zealand.

Funding

MESTECC IF0219I1060
6 · The paper itself

Abstract

While lung protective mechanical ventilation (MV) guidelines have been developed to avoid ventilator-induced lung injury (VILI), a one-size-fits-all approach cannot benefit every individual patient. Hence, there is significant need for the ability to provide patient-specific MV settings to ensure safety, and optimise patient care. Model-based approaches enable patient-specific care by identifying time-varying patient-specific parameters, such as respiratory elastance, E

Indexed as

AdultAgedElasticityFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRespiration, ArtificialRespiratory InsufficiencyRespiratory MechanicsStochastic ProcessesCritical careElastanceMechanical ventilationPatient-specific ventilationRespiratory mechanicsStochastic modelling

Identifiers

PMID34435276
PMCPMC8386681

What Socratic holds

Textmetadata
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 Socratic graph.