Evidence map›Paper›PMID 34729688›Full record

ArticleEndocrine2022

Blood glucose and epicardial adipose tissue at the hospital admission as possible predictors for COVID-19 severity.

G Guarisco, M Fasolo, D Capoccia, G Morsello, A Carraro, P Zuccalà, R Marocco, C Del Borgo, G Pelle, A Iannarelli and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.9field-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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Epicardial adipose tissue in patients with and without COVID-19 infection.American heart journal plus : cardiology research and practice · 2025
    Article
  6. 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 at 3 institutions in 2 countries.

G GuariscoDiabetes Unit, Department of Medical-Surgical Sciences and Biotechnologies, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy. gloriaguarisco@gmail.com.ORCID 0000-0003-0515-0158
M FasoloDiabetes Unit, Department of Medical-Surgical Sciences and Biotechnologies, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
D CapocciaDiabetes Unit, Department of Medical-Surgical Sciences and Biotechnologies, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
G MorselloDiabetes Unit, Department of Medical-Surgical Sciences and Biotechnologies, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
A CarraroDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
P ZuccalàInfectious Diseases Unit, SM Goretti Hospital, Sapienza University of Rome, Latina, Italy.
R MaroccoInfectious Diseases Unit, SM Goretti Hospital, Sapienza University of Rome, Latina, Italy.
C Del BorgoInfectious Diseases Unit, SM Goretti Hospital, Sapienza University of Rome, Latina, Italy.
G PelleDepartment of Diagnostic and Interventional Radiology, Santa Maria Goretti Hospital, Latina, Italy.
A IannarelliDepartment of Diagnostic and Interventional Radiology, Santa Maria Goretti Hospital, Latina, Italy.
E OrlandoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, I.C.O.T. Hospital, Latina, Italy.
A SpagnoliDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
I CarboneDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, I.C.O.T. Hospital, Latina, Italy.
M LichtnerDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
G IacobellisDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami, Miami, FL, USA.
F LeonettiDiabetes Unit, Department of Medical-Surgical Sciences and Biotechnologies, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
COVID-19 Latina Study Group
Ospedale Santa Maria Goretti · ITSapienza University of Rome · ITUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo study the possible association of CT-derived quantitative epicardial adipose tissue (EAT) and glycemia at the admission, with severe outcomes in patients with COVID-19.

methodsTwo hundred and twenty-nine patients consecutively hospitalized for COVID-19 from March 1st to June 30th 2020 were studied. Non contrast chest CT scans, to confirm diagnosis of pneumonia, were performed. EAT volume (cm

resultsThe primary outcome occurred in 56.8% patients. Fasting blood glucose was significantly higher in the group ARDS/death than in the group with better prognosis [114 (98-144) vs. 101 (91-118) mg/dl, p = 0.001]. EAT volume was higher in patients with vs without the primary outcome [103 (69.25; 129.75) vs. 78.95 (50.7; 100.25) cm

conclusionsOur findings suggest that both blood glucose and EAT, easily measurable and modifiable targets, could be important predisposing factors for severe Covid-19 complications.

Indexed as

Blood GlucoseCOVID-19Adipose TissueHospital MortalityHospitalsHumansPericardiumSARS-CoV-2Blood GlucoseAdiposityCOVID-19Epicardial adipose tissueHyperglycemiaVisceral fat

Identifiers

PMID34729688
PMCPMC8563297
OpenAlexW3175127823

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.