Evidence mapPaperPMID 37732118Full record

SynthesisFrontiers in endocrinology2023

Prevalence and risk of new-onset diabetes mellitus after COVID-19: a systematic review and meta-analysis.

Chiara Bellia, Aikaterini Andreadi, Ilenia D'Ippolito, Letizia Scola, Sonia Barraco, Marco Meloni, Davide Lauro, Alfonso Bellia

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
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  12. The prognostic significance of insulin resistance in COVID-19: a review.Journal of diabetes and metabolic disorders · 2024
    Review
  13. Article
  14. 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

8 authors.

Chiara BelliaDepartment of Biomedicine, Neurosciences, and Advanced Diagnostics, University of Palermo, Palermo, Italy.
Aikaterini AndreadiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Ilenia D'IppolitoDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Letizia ScolaDepartment of Biomedicine, Neurosciences, and Advanced Diagnostics, University of Palermo, Palermo, Italy.
Sonia BarracoDivision of Endocrinology and Diabetes, Fondazione Policlinico Tor Vergata, Rome, Italy.
Marco MeloniDivision of Endocrinology and Diabetes, Fondazione Policlinico Tor Vergata, Rome, Italy.
Davide LauroDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Alfonso BelliaDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: After the acute phase of SARS-CoV-2 infection, the onset of glycemic impairment and diabetes have been reported. Nevertheless, the exact burden of glycemic impairment and diabetes after COVID-19 has not been clearly described. Materials and methods: Electronic search was run in Pubmed (MEDLINE), Web of Science, Scopus, and ClinicalTrial.org for reports published from database inception to September 2022. We included observational studies reporting quantitative data on diabetes prevalence or its onset in subjects with a history of SARS-CoV-2 infection from at least 60 days. Risk of bias was assessed by the JBI's critical appraisal checklist. Random effect model was used to calculate pooled data. The review protocol was registered on PROSPERO (CRD42022310722). Results: Among 1,630 records screened, 20 studies were included in the analysis. The mean or median age of participants ranged from ~ 35 to 64 years, with a percentage of males ranging from 28% to 80%. Only two studies were considered at low risk of bias. The estimate of diabetes prevalence, calculated on a total of 320,948 participants pooled with 38,731 cases, was 16% (95%CI: 11-22%). The estimate of proportion of incident cases of diabetes was 1.6% (95%CI: 0.8-2.7%). Subgroup analysis showed that previous hospitalization increased the prevalence of diabetes and the proportion of incident cases. Conclusion: Diabetes is common in individuals who have experienced SARS-CoV-2 infection, especially if they required hospitalization. This data may be helpful to screen for diabetes and manage its complications in individuals who experienced COVID-19. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022310722, identifier CRD42022310722.

Indexed as

COVID-19Diabetes MellitusAdultDatabases, FactualHumansMaleMiddle AgedPrevalenceSARS-CoV-2COVID – 19diabetesincidencenew onset diabetesSARS-CoV2 (COVID- 19)systematic review and meta-analysis

Identifiers

PMID37732118
PMCPMC10507325

What Socratic holds

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LicenceCC BY
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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.