Evidence map›Paper›PMID 34711637›Full record

SynthesisDiabetes care2021

Risks of and From SARS-CoV-2 Infection and COVID-19 in People With Diabetes: A Systematic Review of Reviews.

Jamie Hartmann-Boyce, Karen Rees, James C Perring, Sven A Kerneis, Elizabeth M Morris, Clare Goyder, Afolarin A Otunla, Olivia A James, Nandana R Syam, Samuel Seidu and 1 more

Erratum issuedOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. The prognostic significance of insulin resistance in COVID-19: a review.Journal of diabetes and metabolic disorders · 2024
    Review
  19. Association of Premorbid GLP-1RA and SGLT-2i Prescription Alone and in Combination with COVID-19 Severity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Jamie Hartmann-BoyceNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K. jamie.hartmann-boyce@phc.ox.ac.uk.ORCID 0000-0001-9898-3049
Karen ReesFreelance systematic reviewer, Warwickshire, U.K.
James C PerringMedical Sciences Division, University of Oxford, Oxford, U.K.
Sven A KerneisMedical Sciences Division, University of Oxford, Oxford, U.K.
Elizabeth M MorrisNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K.
Clare GoyderNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K.
Afolarin A OtunlaMedical Sciences Division, University of Oxford, Oxford, U.K.
Olivia A JamesMedical Sciences Division, University of Oxford, Oxford, U.K.
Nandana R SyamMedical Sciences Division, University of Oxford, Oxford, U.K.
Samuel SeiduDiabetes Research Centre, University of Leicester, Leicester, U.K.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, U.K.ORCID 0000-0003-2343-7099
University of Oxford · GBUniversity of Leicester · GBKleijnen Systematic Reviews (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis review was commissioned by the World Health Organization and presents a summary of the latest research evidence on the impact of coronavirus disease 2019 (COVID-19) on people with diabetes (PWD). PURPOSE: To review the evidence regarding the extent to which PWD are at increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and/or of suffering its complications, including associated mortality. DATA SOURCES: We searched the Cochrane COVID-19 Study Register, Embase, MEDLINE, and LitCOVID on 3 December 2020. STUDY SELECTION: Systematic reviews synthesizing data on PWD exposed to SARS-CoV-2 infection, reporting data on confirmed SARS-CoV-2 infection, admission to hospital and/or to intensive care unit (ICU) with COVID-19, and death with COVID-19 were used. DATA EXTRACTION: One reviewer appraised and extracted data; data were checked by a second. DATA SYNTHESIS: Data from 112 systematic reviews were narratively synthesized and displayed using effect direction plots. Reviews provided consistent evidence that diabetes is a risk factor for severe disease and death from COVID-19. Fewer data were available on ICU admission, but where available, these data also signaled increased risk. Within PWD, higher blood glucose levels both prior to and during COVID-19 illness were associated with worse COVID-19 outcomes. Type 1 diabetes was associated with worse outcomes than type 2 diabetes. There were no appropriate data for discerning whether diabetes was a risk factor for acquiring SARS-CoV-2 infection. LIMITATIONS: Due to the nature of the review questions, the majority of data contributing to included reviews come from retrospective observational studies. Reviews varied in the extent to which they assessed risk of bias.

conclusionsThere are no data on whether diabetes predisposes to infection with SARS-CoV-2. Data consistently show that diabetes increases risk of severe COVID-19. As both diabetes and worse COVID-19 outcomes are associated with socioeconomic disadvantage, their intersection warrants particular attention.

Indexed as

COVID-19Diabetes Mellitus, Type 2HumansIntensive Care UnitsRetrospective StudiesSARS-CoV-2

Identifiers

PMID34711637
PMCPMC8669527
OpenAlexW3200744232

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.