Evidence map›Paper›PMID 41605818›Full record

SynthesisDiabetes, obesity & metabolism2026

Prevalence of new-onset diabetes following COVID-19 infection: A systematic review and meta-analysis.

Jordan N Keels, Rose D LaPlante, Christopher S Lee, Andrew A Dwyer

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

4 authors.

Jordan N KeelsBoston College William F. Connell School of Nursing, Chestnut Hill, Massachusetts, USA.ORCID 0009-0008-4216-7585
Rose D LaPlanteBoston College William F. Connell School of Nursing, Chestnut Hill, Massachusetts, USA.
Christopher S LeeBoston College William F. Connell School of Nursing, Chestnut Hill, Massachusetts, USA.
Andrew A DwyerBoston College William F. Connell School of Nursing, Chestnut Hill, Massachusetts, USA.

Funding

NINR NIH HHS 1F31NR021624-01
6 · The paper itself

Abstract

aimTo estimate the prevalence of new-onset diabetes in adults (≥ 18 years) following SARS-CoV-2 infection. MATERIALS AND

methodsThis meta-analysis includes studies written in English that measured the number of adults (≥ 18 years) diagnosed with diabetes following SARS-CoV-2 infection. Studies underwent dual independent review; quality was assessed by using the New Castle Ottawa Scale. A random-effects meta-analysis was conducted to obtain the pooled estimate of new-onset diabetes. To understand the relationship between patient characteristics (age, sex) and study variable (duration of follow-up), a random effects meta-regression was used.

resultsA total of 33 articles were retained for analysis. The overall estimated prevalence of new-onset diabetes (combined T1DM and T2DM or undefined) was 8.33% (95% CI 7.47, 9.18%, z = 19.04, p < 0.001; Q = 6791.24, I

conclusionsThis systematic review and meta-analysis revealed a notable increase in T2DM or combined (T1DM, T2DM, or undefined) conditions. As such, it may be important to understand the underlying factors contributing to increased prevalence.

Indexed as

COVID-19Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdultHumansPandemicsPost-Acute COVID-19 SyndromePrevalenceSARS-CoV-2COVID‐19diabeteslong COVIDnew‐onset diabetesSARS‐CoV‐2

Identifiers

PMID41605818
PMCPMC12992178

What OpenQuestion holds

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LicenceCC BY
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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.