Evidence map›Paper›PMID 34859617›Full record

ArticleEndocrinology, diabetes & metabolism2022

The clinical profile and associated mortality in people with and without diabetes with Coronavirus disease 2019 on admission to acute hospital services.

Krishna Gokhale, Samiul A Mostafa, Jingya Wang, Abd A Tahrani, Christopher Andrew Sainsbury, Konstantinos A Toulis, G Neil Thomas, Zaki Hassan-Smith, Elizabeth Sapey, Suzy Gallier and 7 more

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

17 authors at 3 institutions in 1 country.

Krishna GokhaleInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Samiul A MostafaDepartment of Diabetes Medicine, University Hospitals of Birmingham, Birmingham, UK.ORCID 0000-0002-0415-7908
Jingya WangInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0003-1498-2693
Abd A TahraniInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Christopher Andrew SainsburyInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Konstantinos A ToulisInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
G Neil ThomasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Zaki Hassan-SmithInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-8387-3039
Elizabeth SapeyInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Suzy GallierMidlands Health Data Research UK, Birmingham, UK.
Nicola Jaime AdderleyInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0003-0543-3254
Parth NarendranInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Srikanth BellaryDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS, Foundation Trust, Birmingham, UK.
Tom TavernerInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Sandip GhoshDepartment of Diabetes Medicine, University Hospitals of Birmingham, Birmingham, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Wasim HanifDepartment of Diabetes Medicine, University Hospitals of Birmingham, Birmingham, UK.
University of Birmingham · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBHealth Data Research UK · GB

Funding

Medical Research Council MC_PC_21015Medical Research Council MR/L008335/1Medical Research Council MR/S003878/1
6 · The paper itself

Abstract

introductionTo assess if in adults with COVID-19, whether those with diabetes and complications (DM+C) present with a more severe clinical profile and if that relates to increased mortality, compared to those with diabetes with no complications (DM-NC) and those without diabetes.

methodsService-level data was used from 996 adults with laboratory confirmed COVID-19 who presented to the Queen Elizabeth Hospital Birmingham, UK, from March to June 2020. All individuals were categorized into DM+C, DM-NC, and non-diabetes groups. Physiological and laboratory measurements in the first 5 days after admission were collated and compared among groups. Cox proportional hazards regression models were used to evaluate associations between diabetes status and the risk of mortality.

resultsAmong the 996 individuals, 104 (10.4%) were DM+C, 295 (29.6%) DM-NC and 597 (59.9%) non-diabetes. There were 309 (31.0%) in-hospital deaths documented, 40 (4.0% of total cohort) were DM+C, 99 (9.9%) DM-NC and 170 (17.0%) non-diabetes. Individuals with DM+C were more likely to present with high anion gap/metabolic acidosis, features of renal impairment, and low albumin/lymphocyte count than those with DM-NC or those without diabetes. There was no significant difference in mortality rates among the groups: compared to individuals without diabetes, the adjusted HRs were 1.39 (95% CI 0.95-2.03, p = 0.093) and 1.18 (95% CI 0.90-1.54, p = 0.226) in DM+C and DM-C, respectively.

conclusionsThose with COVID-19 and DM+C presented with a more severe clinical and biochemical profile, but this did not associate with increased mortality in this study.

Indexed as

COVID-19Diabetes MellitusAdultHospitalsHumansRetrospective StudiesRisk FactorsSARS-CoV-2complicationsCOVID-19diabetes

Identifiers

PMID34859617
PMCPMC8754243
OpenAlexW3217659045

What OpenQuestion holds

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Registered trials

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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.