Evidence map›Paper›PMID 33436320›Full record

ReviewPrimary care diabetes2021

Importance of hyperglycemia in COVID-19 intensive-care patients: Mechanism and treatment strategy.

Fatemeh Mirzaei, Iraj Khodadadi, Seyyed Alireza Vafaei, Ebrahim Abbasi-Oshaghi, Heidar Tayebinia, Farhad Farahani

Abstract readReview
In one paragraph

Review in Primary care diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

6 authors.

Fatemeh MirzaeiResearch Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran; Department of Anatomical Sciences, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: Fmiraei@umsha.ac.ir.
Iraj KhodadadiDepartment of Clinical Biochemistry, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: Khodadadi@umsha.ac.ir.
Seyyed Alireza VafaeiIslamic Azad University of Sanandaj, Department of Biology, Sanandaj, Iran. Electronic address: vafaei1977@gmail.com.
Ebrahim Abbasi-OshaghiResearch Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran; Department of Clinical Biochemistry, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: 7abbasi@gmail.com.
Heidar TayebiniaDepartment of Clinical Biochemistry, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: Tavilani@umsha.ac.ir.
Farhad FarahaniHearing Impairment Research Center, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: Farahani@umsha.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review reported that coronavirus disease 2019 (COVID-19) infected patients with short time bed rest or quarantine and airway inflammation are at more risk of developing hyperglycemia and insulin resistance. This condition can induce oxidative stress, decrease immune system function, impair endothelial function, induce apoptosis, and reduce antioxidant in the lungs. We provide a possible mechanism in severe COVID-19 patients and recommend treatment strategy to reduce mortality rate and prevent adverse outcomes after intensive care unit (ICU).

Indexed as

Disease ManagementIntensive Care UnitsBiomarkersBlood GlucoseCOVID-19Global HealthHospitalizationHumansHyperglycemiaIncidencePandemicsSARS-CoV-2Survival RateBiomarkersBlood GlucoseCoronavirusCOVID-19DiabetesHyperglycemiaOxidative stressSARS-CoV-2

Identifiers

PMID33436320
PMCPMC7834268

What OpenQuestion 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 OpenQuestion graph.