Evidence map›Paper›PMID 36098660›Full record

ArticleDiabetes care2022

Effect of SARS-CoV-2 Infection and Infection Severity on Longer-Term Glycemic Control and Weight in People With Type 2 Diabetes.

Rachel Wong, Rohith Vaddavalli, Margaret A Hall, Monil V Patel, Carolyn T Bramante, Elena Casarighi, Steven G Johnson, Veena Lingam, Joshua D Miller, Jane Reusch and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Leveraging Machine Learning to Assess Post-COVID-19 Glycemic Control in Diabetic Patients.International journal of environmental research and public health · 2026
    Article
  3. A case-crossover analysis of short-term PMCommunications medicine · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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

19 authors.

Rachel WongDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.ORCID 0000-0003-3108-7324
Rohith VaddavalliDepartment of Computer Science, Stony Brook University, Stony Brook, NY.
Margaret A HallDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
Monil V PatelDepartment of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY.
Carolyn T BramanteDivision of General Internal Medicine, University of Minnesota Medical School, Minneapolis, MN.ORCID 0000-0001-5858-2080
Elena CasarighiAnacletoLab, Department of Computer Science "Giovanni degli Antoni," Università degli Studi di Milano, Milan, Italy.
Steven G JohnsonInstitute for Health Informatics, University of Minnesota, Minneapolis, MN.
Veena LingamDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
Joshua D MillerDivision of Endocrinology and Metabolism, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY.ORCID 0000-0001-9512-461X
Jane ReuschDivision of Endocrinology, Metabolism & Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.
Mary SaltzDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
Til StürmerDepartment of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC.
Jena S TronieriDepartment of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Kenneth J WilkinsOffice of the Director, Biostatistics Program/Office of Clinical Research Support, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
John B BuseDivision of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC.
Joel SaltzDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
Jared D HulingDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN.
Richard MoffittDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
N3C Consortium:

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EDDY, JAMES A · 2017 to 2021
$28.9M
Pilot & Feasibility ProgramP30DK124723 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicholette D. Allred · 2020 to 2026
$11.0M
Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Racial Differences in Treatment with Hysterectomy: a Multilevel InvestigationR01MD011680 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBINSON, WHITNEY RAGAN · 2017 to 2021
$3.3M
Methods for Estimating Sex Differences in Safety and Effectiveness of DrugsR01HL118255 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JONSSON FUNK, MICHELE LAURA · 2014 to 2017
$1.7M
Improving Weight Loss in Early Non-responders to Behavioral TreatmentK23DK116935 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI TRONIERI, JENNIFER SHAW · 2019 to 2023
$938k
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR002489NHLBI NIH HHS R01 HL118255NIA NIH HHS R01 AG056479NIDDK NIH HHS K23 DK116935NIDDK NIH HHS P30 DK124723NIMHD NIH HHS R01 MD011680
6 · The paper itself

Abstract

objectiveTo evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity of infection with longer-term glycemic control and weight in people with type 2 diabetes (T2D) in the U.S. RESEARCH DESIGN AND

methodsWe conducted a retrospective cohort study using longitudinal electronic health record data of patients with SARS-CoV-2 infection from the National COVID Cohort Collaborative (N3C). Patients were ≥18 years old with an ICD-10 diagnosis of T2D and at least one HbA1c and weight measurement prior to and after an index date of their first coronavirus disease 2019 (COVID-19) diagnosis or negative SARS-CoV-2 test. We used propensity scores to identify a matched cohort balanced on demographic characteristics, comorbidities, and medications used to treat diabetes. The primary outcome was the postindex average HbA1c and postindex average weight over a 1 year time period beginning 90 days after the index date among patients who did and did not have SARS-CoV-2 infection. Secondary outcomes were postindex average HbA1c and weight in patients who required hospitalization or mechanical ventilation.

resultsThere was no significant difference in the postindex average HbA1c or weight in patients who had SARS-CoV-2 infection compared with control subjects. Mechanical ventilation was associated with a decrease in average HbA1c after COVID-19.

conclusionsIn a multicenter cohort of patients in the U.S. with preexisting T2D, there was no significant change in longer-term average HbA1c or weight among patients who had COVID-19. Mechanical ventilation was associated with a decrease in HbA1c after COVID-19.

Indexed as

COVID-19Diabetes Mellitus, Type 2AdolescentGlycated HemoglobinGlycemic ControlHumansRetrospective StudiesSARS-CoV-2Glycated Hemoglobin

Identifiers

PMID36098660
PMCPMC9679257

What Socratic 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 Socratic graph.