Evidence map›Paper›PMID 35325361›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2022

The Risk Factors Potentially Influencing Hospital Admission in People with Diabetes, Following SARS-CoV-2 Infection: A Population-Level Analysis.

Adrian H Heald, David A Jenkins, Richard Williams, Matthew Sperrin, Helene Fachim, Rajshekhar N Mudaliar, Akheel Syed, Asma Naseem, J Martin Gibson, Kelly A Bowden Davies and 4 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Association of Polypharmacy and Burden of Comorbidities on COVID-19 Adverse Outcomes in People with Type 1 or Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  5. Article
  6. Article
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  9. Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Article
  10. Article
  11. The Effect of the COVID-19 Pandemic on HbA1c Testing: Prioritization of High-Risk Cases and Impact of Social Deprivation.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Article
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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

14 authors at 6 institutions in 2 countries.

Adrian H HealdThe School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK. adrian.heald@manchester.ac.uk.
David A JenkinsDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Richard WilliamsDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Matthew SperrinDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Helene FachimThe School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Rajshekhar N MudaliarDepartment of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Akheel SyedThe School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Asma NaseemDepartment of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
J Martin GibsonThe School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Kelly A Bowden DaviesDepartment of Sport and Exercise Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UK.
Niels PeekDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Simon G AndersonUniversity of the West Indies, Cavehill Campus, Barbados.
Yonghong PengFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
William OllierFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
University of Manchester · GBManchester Academic Health Science Centre · GBManchester Metropolitan University · GBSalford Royal NHS Foundation Trust · GBNIHR Manchester Biomedical Research Centre · GBUniversity of the West Indies · BB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince early 2020 the whole world has been challenged by the SARS-CoV-2 virus and the associated global pandemic (Covid-19). People with diabetes are particularly at high risk of becoming seriously unwell after contracting this virus.

methodsThis population-based study included people living in the Greater Manchester conurbation who had a recorded diagnosis of type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) and subsequent Covid-19 infection. Each individual with T1DM (n = 862) or T2DM (n = 13,225) was matched with three Covid-19-infected non-diabetes controls.

resultsFor individuals with T1DM, hospital admission rate in the first 28 days after a positive Covid-19 test was 10% vs 4.7% in age/gender-matched controls [relative risk (RR) 2.1]. For individuals with T2DM, hospital admission rate after a positive Covid-19 test was 16.3% vs 11.6% in age/gender-matched controls (RR 1.4). The average Townsend score was higher in T2DM (1.8) vs matched controls (0.4), with a higher proportion of people with T2DM observed in the top two quintiles of greatest disadvantage (p < 0.001). For Covid-19-infected individuals with T1DM, factors influencing admission likelihood included age, body mass index (BMI), hypertension, HbA1c, low HDL-cholesterol, lower estimated glomerular filtration rate (eGFR), chronic obstructive pulmonary disease (COPD) and being of African/mixed ethnicity. In Covid-19-infected individuals with T2DM, factors related to a higher admission rate included age, Townsend index, comorbidity with COPD/asthma and severe mental illness (SMI), lower eGFR. Metformin prescription lowered the likelihood. For multivariate analysis in combined individuals with T2DM/controls, factors relating to higher likelihood of admission were having T2DM/age/male gender/diagnosed COPD/diagnosed hypertension/social deprivation (higher Townsend index) and non-white ethnicity (all groups).

conclusionIn a UK population we have confirmed a significantly higher likelihood of admission in people with diabetes following Covid-19 infection. A number of factors mediate that increased likelihood of hospital admission. For T2DM, the majority of factors related to increased admission rate are common to the general population but more prevalent in T2DM. There was a protective effect of metformin in people with T2DM.

Indexed as

Covid-19Hospital admissionSARS-CoV-2T1DMT2DM

Identifiers

PMID35325361
PMCPMC8944405
OpenAlexW4220836051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.