Evidence map›Paper›PMID 35075818›Full record

ArticleJournal of diabetes investigation2022

Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia.

Masaki Uchihara, Ryotaro Bouchi, Noriko Kodani, Sho Saito, Yusuke Miyazato, Kotaro Umamoto, Hirofumi Sugimoto, Michi Kobayashi, Sayaka Hikida, Yutaro Akiyama and 7 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. 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

17 authors.

Masaki UchiharaDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Ryotaro BouchiDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7664-4342
Noriko KodaniDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Sho SaitoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke MiyazatoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kotaro UmamotoDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Hirofumi SugimotoDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Michi KobayashiDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Sayaka HikidaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yutaro AkiyamaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Noriko Ihana-SugiyamaDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Mitsuru OhsugiDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Akiyo TanabeDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Kohjiro UekiDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Jin TakasakiDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Masayuki HojoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi KajioDepartment of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionDiabetes is associated with poor clinical outcomes of coronavirus disease 2019 (COVID-19). However, the impact of newly diagnosed diabetes on prognosis has not been clarified. The objective of this study was to show the features and outcome of COVID-19 patients with newly diagnosed diabetes in Japan. MATERIALS AND

methodsWe retrospectively analyzed 62 patients with diabetes hospitalized for COVID-19 between 1 April and 18 August 2021 at the National Center for Global Health and Medicine in Tokyo, Japan. We evaluated the worst severity of COVID-19 and plasma blood glucose levels in patients with newly diagnosed diabetes or pre-existing diabetes.

resultsThis study included 62 confirmed COVID-19 patients with diabetes, including 19 (30.6%) patients with newly diagnosed diabetes and 43 (69.4%) patients with pre-existing diabetes. Patients with newly diagnosed diabetes significantly progressed to a critical condition more frequently during hospitalization than patients with pre-existing diabetes (52.6% vs 20.9%, P = 0.018). In addition, patients with newly diagnosed diabetes had significantly higher average plasma blood glucose levels for the first 3 days after admission than those with pre-existing diabetes.

conclusionsOur study suggests that the proportion of COVID-19 patients who are newly diagnosed with diabetes is high, and they have an increased risk of developing severe disease than those with pre-existing diabetes. It might be advisable that at the point of COVID-19 diagnosis, blood glucose and glycated hemoglobin levels be assessed in all patients.

Indexed as

COVID-19Diabetes MellitusHyperglycemiaBlood GlucoseCOVID-19 TestingHumansRetrospective StudiesRisk FactorsSARS-CoV-2Blood GlucoseCOVID-19DiabetesHyperglycemia

Identifiers

PMID35075818
PMCPMC9153833

What OpenQuestion holds

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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 OpenQuestion graph.