Evidence map›Paper›PMID 32613777›Full record

GuidelineDiabetes & metabolism journal2020

Coronavirus Disease 2019 and Diabetes: The Epidemic and the Korean Diabetes Association Perspective.

Junghyun Noh, Hyun Ha Chang, In Kyung Jeong, Kun Ho Yoon

Abstract readPractice GuidelineReview
In one paragraph

Guideline in Diabetes & metabolism journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

4 authors.

Junghyun NohDivision of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.ORCID 0000-0002-7964-0515
Hyun Ha ChangDivision of Infectious Diseases, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
In Kyung JeongDepartment of Endocrinology and Metabolism, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea. jik1016@khu.ac.kr.ORCID 0000-0001-7857-546X
Kun Ho YoonDivision of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea. yoonk@catholic.ac.kr.ORCID 0000-0002-9109-2208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes has been associated with more severe outcomes and higher mortality in coronavirus disease 2019 (COVID-19) patients compare to morbidity and mortality in patients without diabetes. Several mechanisms may play a role in this greater morbidity and mortality, especially uncontrolled hyperglycemia, an impaired immune system, pre-existing proinflammatory states, multiple comorbidities, and dysregulated angiotensin-converting enzyme 2 signaling. Thus, the diabetes medical community emergently needs to know about COVID-19 and its effects on patients with diabetes, as they must take precautions to carefully manage these patients during the COVID-19 pandemic. The Korean Diabetes Association provides some guidance and practical recommendations for the management of diabetes during the pandemic. This report provides insight into the association between diabetes and COVID-19, proper management of diabetes in patients with COVID-19 and an official suggestion by the Korean Diabetes Association for managing the COVID-19 outbreak.

Indexed as

Coronavirus InfectionsCOVID-19Diabetes ComplicationsDisease ManagementHumansPandemicsPneumonia, ViralCOVID-19Diabetes mellitusSevere acute respiratory syndrome coronavirus 2

Identifiers

PMID32613777
PMCPMC7332333

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.