Evidence map›Paper›PMID 37423628›Full record

ArticleBMJ open2023

Diabetes status and other factors as correlates of risk for thrombotic and thromboembolic events during SARS-CoV-2 infection: A nationwide retrospective case-control study using

Erin M Tallon, Mary Pat Gallagher, Vincent S Staggs, Diana Ferro, Deepa Badrinath Murthy, Osagie Ebekozien, Mikhail N Kosiborod, Marcus Lind, Camila Manrique-Acevedo, Chi-Ren Shyu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
1.0field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
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

11 authors at 5 institutions in 3 countries.

Erin M TallonInstitute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA etallon@cmh.edu.ORCID 0000-0003-1353-6632
Mary Pat GallagherDepartment of Pediatrics, Hassenfeld Children's Hospital at NYU Langone Health, New York, New York, USA.
Vincent S StaggsDepartment of Pediatrics - Division of Health Services and Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri, USA.
Diana FerroDepartment of Pediatrics - Division of Pediatric Endocrinology and Diabetes, Children's Mercy Kansas City, Kansas City, Missouri, USA.
Deepa Badrinath MurthyDepartment of Pediatrics, Hassenfeld Children's Hospital at NYU Langone Health, New York, New York, USA.
Osagie EbekozienT1D Exchange, Boston, Massachusetts, USA.
Mikhail N KosiborodDepartment of Cardiovascular Disease, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA.
Marcus LindDepartment of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
Camila Manrique-AcevedoDepartment of Medicine - Division of Endocrinology, Diabetes and Metabolism, University of Missouri, Columbia, Missouri, USA.
Chi-Ren ShyuInstitute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA.
Mark A ClementsDepartment of Pediatrics - Division of Pediatric Endocrinology and Diabetes, Children's Mercy Kansas City, Kansas City, Missouri, USA.
Children's Mercy Hospital · USUniversity of Missouri · USSahlgrenska University Hospital · SESaint Luke's Hospital · USUniversity of Mississippi · US

Funding

Massive and Complex Data Analytics Pre-Doctoral Training in One HealthT32LM012410 · NLM · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHYU, CHI-REN · 2016 to 2020
$1.2M
NLM NIH HHS T32 LM012410
6 · The paper itself

Abstract

objectivesWe sought to examine in individuals with SARS-CoV-2 infection whether risk for thrombotic and thromboembolic events (TTE) is modified by presence of a diabetes diagnosis. Furthermore, we analysed whether differential risk for TTEs exists in type 1 diabetes mellitus (T1DM) versus type 2 diabetes mellitus (T2DM).

designRetrospective case-control study.

settingThe December 2020 version of the

participantsWe analysed EMR data for 322 482 patients >17 years old with suspected or confirmed SARS-CoV-2 infection who received care between December 2019 and mid-September 2020. Of these, 2750 had T1DM; 57 811 had T2DM; and 261 921 did not have diabetes. OUTCOME: TTE, defined as presence of a diagnosis code for myocardial infarction, thrombotic stroke, pulmonary embolism, deep vein thrombosis or other TTE.

resultsOdds of TTE were substantially higher in patients with T1DM (adjusted OR (AOR) 2.23 (1.93-2.59)) and T2DM (AOR 1.52 (1.46-1.58)) versus no diabetes. Among patients with diabetes, odds of TTE were lower in T2DM versus T1DM (AOR 0.84 (0.72-0.98)).

conclusionsRisk of TTE during COVID-19 illness is substantially higher in patients with diabetes. Further, risk for TTEs is higher in those with T1DM versus T2DM. Confirmation of increased diabetes-associated clotting risk in future studies may warrant incorporation of diabetes status into SARS-CoV-2 infection treatment algorithms.

Indexed as

COVID-19Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2ThromboembolismAdolescentCase-Control StudiesHumansRetrospective StudiesRisk FactorsSARS-CoV-2COVID-19DIABETES & ENDOCRINOLOGYHealth informaticsStrokeThromboembolism

Identifiers

PMID37423628
PMCPMC10335498
OpenAlexW4383670185

What OpenQuestion holds

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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.