Evidence map›Paper›PMID 32852883›Full record

ArticleDiabetes/metabolism research and reviews2021

Haemoglobin A1c is a predictor of COVID-19 severity in patients with diabetes.

Eugene Merzon, Ilan Green, Miriam Shpigelman, Shlomo Vinker, Itamar Raz, Avivit Golan-Cohen, Roy Eldor

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes/metabolism research and reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 8% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  14. Factors Affecting the Outcomes of COVID-19 in Diabetes Patients at Haji Adam Malik General Hospital Medan, Indonesia.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
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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

7 authors at 3 institutions in 1 country.

Eugene MerzonMedical Division, Leumit Health Services, Tel-Aviv, Israel.ORCID 0000-0001-5469-0236
Ilan GreenMedical Division, Leumit Health Services, Tel-Aviv, Israel.ORCID 0000-0002-9435-7152
Miriam ShpigelmanLeumit Health Services, Central District Headquarter, Netanya, Israel.ORCID 0000-0002-1978-6264
Shlomo VinkerMedical Division, Leumit Health Services, Tel-Aviv, Israel.ORCID 0000-0001-9804-7103
Itamar RazThe Pesach Segal Israeli Center for Diabetes Research and Policy, Sheba Medical Center, Ramat Gan, Israel.ORCID 0000-0003-0209-4453
Avivit Golan-CohenMedical Division, Leumit Health Services, Tel-Aviv, Israel.ORCID 0000-0003-2406-6402
Roy EldorDiabetes Unit, Institute of Endocrinology, Metabolism and Hypertension, Tel Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Tel Aviv University · ILClalit Health Services · ILSheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimPoor outcomes of coronavirus disease 2019 (COVID-19) have been linked to diabetes, but its relation to pre-infection glycaemic control is still unclear. MATERIALS AND

methodsTo address this question, we report here the association between pre-infection Haemoglobin A1c (HbA1c) levels and COVID-19 severity as assessed by need for hospitalization in a cohort of 2068 patients with diabetes tested for COVID-19 in Leumit Health Services (LHSs), Israel, between 1 February and 30 April 2020. Using the LHS-integrated electronic medical records system, we were able to collect a large amount of clinical information including age, sex, socio-economic status, weight, height, body mass index, HbA1c, prior diagnosis of ischaemic heart disease, depression/anxiety, schizophrenia, dementia, hypertension, cerebrovascular accident, congestive heart failure, smoking, and chronic lung disease.

resultsOf the patients included in the cohort, 183 (8.85%) were diagnosed with COVID-19 and 46 were admitted to hospital. More hospitalized patients were female, came from higher socio-economic background and had a higher baseline HbA1c. A prior diagnosis of cerebrovascular accident and chronic lung disease conferred an increased risk of hospitalization but not obesity or smoking status. In a multivariate analysis, controlling for multiple prior clinical conditions, the only parameter associated with a significantly increased risk for hospitalization was HbA1c ≥ 9%.

conclusionUsing pre-infection glycaemic control data, we identify HbA1c as a clear predictor of COVID-19 severity. Pre-infection risk stratification is crucial to successfully manage this disease, efficiently allocate resources, and minimize the economic and social burden associated with an undiscriminating approach.

Indexed as

Severity of Illness IndexAdolescentAdultAgedAged, 80 and overBiomarkersChildCOVID-19Diabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHospitalizationHumansIsraelMaleBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humancoronavirus infectious disease 2019 (COVID-19)pre-infection glycaemic control

Identifiers

PMID32852883
PMCPMC7460936
OpenAlexW3081438365

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.