Evidence map›Paper›PMID 33377213›Full record

ReviewDiabetic medicine : a journal of the British Diabetic Association2021

An overview of COVID-19 in people with diabetes: Pathophysiology and considerations in the inpatient setting.

Nicola Fleming, Lori J Sacks, Cecilia T Pham, Sandra L Neoh, Elif I Ekinci

Open access · bronzeAbstract readReview
In one paragraph

Review in Diabetic medicine : a journal of the British Diabetic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. A Novel Algorithm for the Management of Inpatient COVID-19 Glucocorticoid-Induced Hyperglycemia.Clinical diabetes : a publication of the American Diabetes Association · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. The COVID-19 Patient in the Surgical Intensive Care Unit.The Surgical clinics of North America · 2022
    Review
  11. Review
  12. Review
  13. Metformin to decrease COVID-19 severity and mortality: Molecular mechanisms and therapeutic potential.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  14. Article
  15. Article
  16. Unemployment Syndrome during COVID-19: A Comparison of Three Population Groups.International journal of environmental research and public health · 2021
    Article
  17. Optimization in the Context of COVID-19 Prediction and Control: A Literature Review.IEEE access : practical innovations, open solutions · 2021
    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

5 authors at 2 institutions in 1 country.

Nicola FlemingDepartment of Surgery, Austin Health, Heidelberg, Vic., Australia.ORCID 0000-0002-0037-5238
Lori J SacksDepartment of Medicine Austin Health, Melbourne Medical School, The University of Melbourne, Austin Health, Heidelberg, Vic., Australia.
Cecilia T PhamDepartment of Medicine Austin Health, Melbourne Medical School, The University of Melbourne, Austin Health, Heidelberg, Vic., Australia.
Sandra L NeohDepartment of Medicine Austin Health, Melbourne Medical School, The University of Melbourne, Austin Health, Heidelberg, Vic., Australia.
Elif I EkinciDepartment of Medicine Austin Health, Melbourne Medical School, The University of Melbourne, Austin Health, Heidelberg, Vic., Australia.ORCID 0000-0003-2372-395X
The University of Melbourne · AUAustin Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe coronavirus disease (COVID-19) pandemic has continued to have a devastating impact on health worldwide. There has been a rapid evolution of evidence, establishing an increased risk of morbidity and mortality associated with diabetes and concurrent COVID-19. The objective of this review is to explore the current evidence for inpatient assessment and management of diabetes during the COVID-19 pandemic and highlight areas requiring further exploration.

methodsA literature search of databases was conducted to November 2020 using variations on keywords SARS-CoV-2, COVID-19, SARS, MERS and diabetes. Information relating to the impact of diabetes on severity of COVID-19 infection, the impact of COVID-19 infection on diabetes management and diabetes-related complications was integrated to create a narrative review. DISCUSSION: People with diabetes and COVID-19 are at an increased risk of morbidity and mortality. It is important that people with both known and previously unrecognised diabetes and COVID-19 be promptly identified and assessed during acute illness, with close monitoring for clinical deterioration or complications. People with diabetes may require titration or alteration of their glycaemic management due to the potential for worse outcomes with hyperglycaemia and COVID-19 infection. Comprehensive discharge planning is vital to optimise ongoing glycaemic management.

conclusionFurther understanding of the risk of adverse outcomes and optimisation of glycaemic management for people with diabetes during COVID-19 is required to improve outcomes. Increased glucose and ketone monitoring, substitution of insulin for some oral anti-hyperglycaemic medications and careful monitoring for complications of diabetes such as diabetic ketoacidosis should be considered.

Indexed as

InpatientsSARS-CoV-2ComorbidityCOVID-19Diabetes MellitusGlycemic ControlHumansHyperglycemiaNeeds Assessmentcoronavirus diseasediabetessevere acute respiratory syndrome coronavirus 2

Identifiers

PMID33377213
PMCPMC7883197
OpenAlexW3113738872

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.