Evidence map›Paper›PMID 32938731›Full record

ReviewDiabetes2020

COVID-19 and Diabetes: A Collision and Collusion of Two Diseases.

Eva L Feldman, Masha G Savelieff, Salim S Hayek, Subramaniam Pennathur, Matthias Kretzler, Rodica Pop-Busui

Open access · bronzeAbstract readReview
In one paragraph

Review in Diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 5% 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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 137 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

17 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Eva L FeldmanDepartment of Neurology, University of Michigan, Ann Arbor, MI efeldman@umich.edu.ORCID 0000-0002-9162-2694
Masha G SavelieffDepartment of Neurology, University of Michigan, Ann Arbor, MI.
Salim S HayekDivision of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Subramaniam PennathurDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.ORCID 0000-0003-4064-0582
Rodica Pop-BusuiDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-2042-1350
University of Michigan · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kanakadurga Singer · 2010 to 2026
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C · 2008 to 2022
$12.9M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Research Education ComponentP30AG059300 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRISTINE J. AJROUCH, TONI Claudette ANTONUCCI · 2018 to 2026
$7.0M
NIDDK Diabetic Foot Consortium Clinical Research UnitU01DK119083 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RODICA BUSUI (POP-BUSUI), Crystal Murray Holmes · 2018 to 2026
$5.5M
Targeting Inflammation with Salsalate as a Novel Therapy for Diabetic NeuropathyR01DK107956 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUSUI (POP-BUSUI), RODICA, FELDMAN, EVA LUCILLE · 2016 to 2020
$3.0M
Role of SuPAR in the Intersection between Cardiovascular and Kidney DiseaseR01HL153384 · NHLBI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HAYEK, SALIM · 2020 to 2024
$2.5M
NCATS NIH HHS UL1 TR002240NHLBI NIH HHS R01 HL153384NIA NIH HHS P30 AG059300NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIDDK NIH HHS P30 DK092926NIDDK NIH HHS R01 DK107956NIDDK NIH HHS R24 DK082841NIDDK NIH HHS U01 DK119083
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has infected >22.7 million and led to the deaths of 795,000 people worldwide. Patients with diabetes are highly susceptible to COVID-19-induced adverse outcomes and complications. The COVID-19 pandemic is superimposing on the preexisting diabetes pandemic to create large and significantly vulnerable populations of patients with COVID-19 and diabetes. This article provides an overview of the clinical evidence on the poorer clinical outcomes of COVID-19 infection in patients with diabetes versus patients without diabetes, including in specific patient populations, such as children, pregnant women, and racial and ethnic minorities. It also draws parallels between COVID-19 and diabetes pathology and suggests that preexisting complications or pathologies in patients with diabetes might aggravate infection course. Finally, this article outlines the prospects for long-term sequelae after COVID-19 for vulnerable populations of patients with diabetes.

Indexed as

SARS-CoV-2Blood GlucoseComorbidityCOVID-19Diabetes Mellitus, Type 2HumansRisk FactorsBlood Glucose

Identifiers

PMID32938731
PMCPMC7679769
OpenAlexW3085941542

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.