Evidence map›Paper›PMID 32607009›Full record

ArticleMedical devices (Auckland, N.Z.)2020

Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.

Athirah Abdul Razak, Asma Abu-Samah, Normy Norfiza Abdul Razak, Ummu Jamaludin, Fatanah Suhaimi, Azrina Ralib, Mohd Basri Mat Nor, Christopher Pretty, Jennifer Laura Knopp, James Geoffrey Chase

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PubMed Full text at PMC Publisher
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Article in Medical devices (Auckland, N.Z.), 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
0.1field-weighted citation impact, top 50% 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, 3 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

10 authors at 6 institutions in 2 countries.

Athirah Abdul RazakCollege of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia.ORCID 0000-0002-3674-3039
Asma Abu-SamahDepartment of Electrical, Electronics and Systems, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.ORCID 0000-0001-8514-1459
Normy Norfiza Abdul RazakCollege of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia.ORCID 0000-0002-2967-5728
Ummu JamaludinDepartment of Mechanical Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.
Fatanah SuhaimiAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
Azrina RalibDepartment of Anesthesiology, International Islamic University Malaysia, Kuantan, Malaysia.
Mohd Basri Mat NorIntensive Care Unit, International Islamic University Medical Centre, Kuantan, Malaysia.
Christopher PrettyDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Jennifer Laura KnoppDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
James Geoffrey ChaseDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
University of Canterbury · NZInternational Islamic University Malaysia · MYUniversiti Tenaga Nasional · MYNational University of Malaysia · MYUniversiti Malaysia Pahang Al-Sultan Abdullah · MYUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper presents an assessment of an automated and personalized stochastic targeted (STAR) glycemic control protocol compliance in Malaysian intensive care unit (ICU) patients to ensure an optimized usage. PATIENTS AND

methodsSTAR proposes 1-3 hours treatment based on individual insulin sensitivity variation and history of blood glucose, insulin, and nutrition. A total of 136 patients recorded data from STAR pilot trial in Malaysia (2017-quarter of 2019*) were used in the study to identify the gap between chosen administered insulin and nutrition intervention as recommended by STAR, and the real intervention performed.

resultsThe results show the percentage of insulin compliance increased from 2017 to first quarter of 2019* and fluctuated in feed administrations. Overall compliance amounted to 98.8% and 97.7% for administered insulin and feed, respectively. There was higher average of 17 blood glucose measurements per day than in other centres that have been using STAR, but longer intervals were selected when recommended. Control safety and performance were similar for all periods showing no obvious correlation to compliance.

conclusionThe results indicate that STAR, an automated model-based protocol is positively accepted among the Malaysian ICU clinicians to automate glycemic control and the usage can be extended to other hospitals already. Performance could be improved with several propositions.

Indexed as

compliancediabetesglycemic controlmodel-based controlstochastic targeted prediction

Identifiers

PMID32607009
PMCPMC7282801
OpenAlexW3033122845

What OpenQuestion holds

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LicenceCC BY-NC
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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.