Evidence map›Paper›PMID 33029657›Full record

Observational studyDiabetologia2020

Antibody response to multiple antigens of SARS-CoV-2 in patients with diabetes: an observational cohort study.

Vito Lampasona, Massimiliano Secchi, Marina Scavini, Elena Bazzigaluppi, Cristina Brigatti, Ilaria Marzinotto, Alberto Davalli, Amelia Caretto, Andrea Laurenzi, Sabina Martinenghi and 11 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 10 pooled it
2.6field-weighted citation impact, top 6% 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

71 citing papers in PubMed, 10 syntheses or guidelines pooled it, 116 citations in OpenAlex.

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  4. Impaired glucose regulation, SARS-CoV-2 infections and adverse COVID-19 outcomes.Translational research : the journal of laboratory and clinical medicine · 2022
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11 more citing papers are in PubMed but not listed here.

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

21 authors at 2 institutions in 1 country.

Vito LampasonaSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0001-5162-8445
Massimiliano SecchiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-4570-1885
Marina ScaviniSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-7983-6905
Elena BazzigaluppiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-6715-7454
Cristina BrigattiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Ilaria MarzinottoSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-4765-4509
Alberto DavalliSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Amelia CarettoSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0003-1153-6700
Andrea LaurenziSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Sabina MartinenghiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0001-7719-2934
Chiara MolinariSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-2346-3759
Giordano VitaliSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Luigi Di FilippoSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Alessia MercalliSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0003-4654-5770
Raffaella MelziSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0003-1511-8266
Cristina TresoldiMolecular Hematology Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
Patrizia Rovere-QueriniDepartment of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0003-2615-3649
Giovanni LandoniSchool of Medicine and Surgery, Università Vita-Salute San Raffaele, Milan, Italy.ORCID 0000-0002-8594-5980
Fabio CiceriSchool of Medicine and Surgery, Università Vita-Salute San Raffaele, Milan, Italy.ORCID 0000-0003-0873-0123
Emanuele BosiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-2371-2495
Lorenzo PiemontiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy. piemonti.lorenzo@hsr.it.ORCID 0000-0002-2172-2198
IRCCS Ospedale San Raffaele · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThe aim of the study was to characterise the humoral response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with diabetes. Demonstrating the ability to mount an appropriate antibody response in the presence of hyperglycaemia is relevant for the comprehension of mechanisms related to the observed worse clinical outcome of coronavirus disease 2019 (COVID-19) pneumonia in patients with diabetes and for the development of any future vaccination campaign to prevent SARS-CoV-2 infection.

methodsUsing a highly specific and sensitive measurement of antibodies by fluid-phase luciferase immunoprecipitation assays, we characterised the IgG, IgM and IgA response against multiple antigens of SARS-CoV-2 in a cohort of 509 patients with documented diagnosis of COVID-19, prospectively followed at our institution. We analysed clinical outcomes and antibody titres according to the presence of hyperglycaemia, i.e., either diagnosed or undiagnosed diabetes, at the time of, or during, hospitalisation.

resultsAmong patients with confirmed COVID-19, 139 (27.3%) had diabetes: 90 (17.7%) had diabetes diagnosed prior to the hospital admission (comorbid diabetes) while 49 (9.6%) had diabetes diagnosed at the time of admission (newly diagnosed). Diabetes was associated with increased levels of inflammatory biomarkers and hypercoagulopathy, as well as leucocytosis and neutrophilia. Diabetes was independently associated with risk of death (HR 2.32 [95% CI 1.44, 3.75], p = 0.001), even after adjustment for age, sex and other relevant comorbidities. Moreover, a strong association between higher glucose levels and risk of death was documented irrespective of diabetes diagnosis (HR 1.14 × 1.1 mmol/l [95% CI 1.08, 1.21], p < 0.001). The humoral response against SARS-CoV-2 in patients with diabetes was present and superimposable, as for timing and antibody titres, to that of non-diabetic patients, with marginal differences, and was not influenced by glucose levels. Of the measured antibody responses, positivity for IgG against the SARS-CoV-2 spike receptor-binding domain (RBD) was predictive of survival rate, both in the presence or absence of diabetes. CONCLUSIONS/

interpretationThe observed increased severity and mortality risk of COVID-19 pneumonia in patients with hyperglycaemia was not the result of an impaired humoral response against SARS-CoV-2. RBD IgG positivity was associated with a remarkable protective effect, allowing for a cautious optimism about the efficacy of future vaccines against SARs-COV-2 in people with diabetes. Graphical abstract.

Indexed as

Antibody FormationAdultAgedAged, 80 and overAntibodies, ViralAntigens, ViralBiomarkersBlood Coagulation DisordersBlood GlucoseCohort StudiesCoronavirus InfectionsCOVID-19Diabetes MellitusFemaleHumansImmunity, HumoralAntibodies, ViralAntigens, ViralBiomarkersBlood GlucoseImmunoglobulin GAntibodiesCOVID-19DiabetesHumanHumoral responseReceptor-binding domainSARS-CoV-2Survival rate

Identifiers

PMID33029657
PMCPMC7541098
OpenAlexW3091976972

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.