Evidence map›Paper›PMID 36604681›Full record

Observational studyBMC endocrine disorders2023

Reduced antibody response to SARS-CoV-2 in COVID-19 patients with newly diagnosed diabetes: a retrospective observational study.

Naoya Otsubo, Tatsuya Fukuda, Hiroko Beppu, Chisato Maki, Fumihiko Yasui, Tomohide Hanawa, Chise Sugita, Masanori Murakami, Tetsuya Yamada, Michinori Kohara and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC endocrine disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Article
  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

11 authors at 3 institutions in 1 country.

Naoya OtsuboDepartment of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, 2-44-1 Kabuki-Cho, Shinjyuku-Ku, Tokyo, 160-8488, Japan.
Tatsuya FukudaDepartment of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, 2-44-1 Kabuki-Cho, Shinjyuku-Ku, Tokyo, 160-8488, Japan. fukumem@tmd.ac.jp.
Hiroko BeppuDepartment of Nephrology, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Tokyo, Japan.
Chisato MakiDepartment of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, 2-44-1 Kabuki-Cho, Shinjyuku-Ku, Tokyo, 160-8488, Japan.
Fumihiko YasuiDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Tomohide HanawaDepartment of Pulmonary Medicine, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Tokyo, Japan.
Chise SugitaDepartment of Pulmonary Medicine, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Tokyo, Japan.
Masanori MurakamiDepartment of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Tetsuya YamadaDepartment of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Michinori KoharaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Sachiko WakaiDepartment of Nephrology, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Tokyo, Japan.
Ohkubo Hospital · JPTokyo Medical and Dental University · JPTokyo Metropolitan Institute of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has dramatically impacted global health, and patients with type 2 diabetes have been identified as a high-risk group for COVID-19 infection and the development of severe disease. In response, this study aimed to evaluate whether patients with type 2 diabetes infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could develop antibody responses in the same manner as patients without diabetes, and whether there is a difference in antibody response to SARS-CoV-2 between patients with diabetes diagnosed prior to hospitalization, and those with newly diagnosed diabetes.

methodsSARS-CoV-2-specific immunoglobulin G (IgG) levels were quantified using two iFlash 3000 Chemiluminescence Immunoassay analyzer kits (Shenzhen YHLO Biotech Co., Ltd.) to detect IgG antibodies specific for nucleocapsid protein (IgG-N), and specific for the S1 subunit of the spike protein (IgG-S1). In 124 hospitalized patients with COVID-19, 40 patients with type 2 diabetes were matched to 40 patients without diabetes using propensity score matching (PSM).

resultsThere was no difference in IgG-N and IgG-S1 levels between the patients with diabetes and those without. Of patients with diabetes, 31 patients had known diabetes and nine patients had newly diagnosed diabetes. The median levels of IgG-N at 7-13 days in patients with newly diagnosed diabetes were significantly lower than those in patients with known diabetes (IgG-N; 10.9 vs. 31.0 AU/mL, p = 0.031, IgG-S1; 7.5 vs. 24.4 AU/mL, p = 0.023).

conclusionsEven after adjusting for covariates using PSM, COVID-19 patients with type 2 diabetes had comparable antibody responses to patients without diabetes. Patients with newly diagnosed diabetes had lower IgG-N and IgG-S1 production in the second week of the disease compared with those with previously known diabetes.

Indexed as

COVID-19Diabetes Mellitus, Type 2Antibodies, ViralAntibody FormationHumansImmunoglobulin GSARS-CoV-2Antibodies, ViralImmunoglobulin GAntibodiesCOVID-19DiabetesImmune systemSARS-CoV-2

Identifiers

PMID36604681
PMCPMC9816526
OpenAlexW4313647817

What OpenQuestion 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 OpenQuestion graph.