Evidence map›Paper›PMID 39401034›Full record

ArticleJAMA network open2024

SARS-CoV-2 Infection and New-Onset Type 2 Diabetes Among Pediatric Patients, 2020 to 2022.

Margaret G Miller, Pauline Terebuh, David C Kaelber, Rong Xu, Pamela B Davis

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Molecular mechanisms of SARS-CoV-2 entry: implications for biomedical strategies.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  6. 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

5 authors.

Margaret G MillerCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Pauline TerebuhCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio.
David C KaelberCenter for Clinical Informatics Research and Education, The MetroHealth System and Departments of Medicine, Pediatrics, and Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.
Rong XuCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Pamela B DavisCenter for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsRF1AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2022 to 2022
$2.3M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsR01AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Rong Xu · 2025 to 2026
$1.6M
Characterize multifaceted interactions between COVID-19 and alcohol use disorder based on real-time analysis of electronic health records of 62 million adult patientsR01AA029831 · NIAAA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2021 to 2023
$1.1M
NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG061388NIA NIH HHS R01 AG076649NIA NIH HHS R56 AG062272NIA NIH HHS RF1 AG076649NIDA NIH HHS UG1 DA049435
6 · The paper itself

Abstract

Importance: In adults, diagnoses of new-onset type 2 diabetes (T2D) have increased following diagnosis with COVID-19, but whether this occurs in children is unclear. Objective: To determine whether risk of incident T2D diagnosis is increased during the 6 months after SARS-CoV-2 infection among children. Design, Setting, and Participants: This retrospective cohort study used electronic health records from the TriNetX analytics platforms between January 1, 2020, and December 31, 2022. Pediatric patients aged 10 to 19 years without preexisting diabetes were eligible for inclusion. Data were analyzed from August 15 to September 15, 2023, with supplemental analyses January 20 and August 8 to 13, 2024. Exposures: Diagnosis of COVID-19 or a non-COVID-19 respiratory infection. Main Outcomes and Measures: New diagnosis of T2D compared by risk ratios (RRs) and 95% CIs at 1, 3, and 6 months after index infection. Results: The main study population included 613 602 patients, consisting of 306 801 with COVID-19 (mean [SD] age at index, 14.9 [2.9] years; 52.8% female) and 306 801 with other respiratory infections (ORIs) but no documented COVID-19 (mean [SD] age at index, 14.9 [2.9] years; 52.6% female) after propensity score matching. Risk of a new diagnosis of T2D was significantly increased from day of infection to 1, 3, and 6 months after COVID-19 diagnosis compared with the matched cohort with ORIs (RR at 1 month, 1.55 [95% CI, 1.28-1.89]; RR at 3 months: 1.48 [95% CI, 1.24-1.76]; RR at 6 months: 1.58 [95% CI, 1.35-1.85]). Similar results were found in the subpopulation classified as having overweight or obesity (RR at 1 month: 2.07 [95% CI, 1.12-3.83]; RR at 3 months: 2.00 [95% CI, 1.15-3.47]; RR at 6 months: 2.27 [95% CI, 1.38-3.75]) and the hospitalized subpopulation (RR at 1 month: 3.10 [95% CI, 2.04-4.71]; RR at 3 months: 2.74 [95% CI, 1.90-3.96]; RR at 6 months: 2.62 [95% CI, 1.87-3.66]). Similar elevation in risk was found at 3 and 6 months when excluding patients diagnosed during the interval from the index date to 1 month after infection. Conclusions and Relevance: In this retrospective cohort study of children and adolescents aged 10 to 19 years, the risk of an incident diagnosis of T2D was greater following a COVID-19 diagnosis than in children diagnosed with ORIs. Further study is required to determine whether diabetes persists or reverses later in life.

Indexed as

COVID-19Diabetes Mellitus, Type 2SARS-CoV-2AdolescentChildFemaleHumansIncidenceMaleRetrospective StudiesRisk FactorsUnited StatesYoung Adult

Identifiers

PMID39401034
PMCPMC11581647

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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.