Evidence map›Paper›PMID 39264723›Full record

ArticleThe Journal of clinical investigation2024

A six-year study in a real-world population reveals an increased incidence of dyslipidemia during COVID-19.

Valentina Trimarco, Raffaele Izzo, Stanislovas S Jankauskas, Mario Fordellone, Giuseppe Signoriello, Maria Virginia Manzi, Maria Lembo, Paola Gallo, Giovanni Esposito, Roberto Piccinocchi and 7 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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.

Valentina TrimarcoDepartment of Neuroscience, Reproductive Sciences, and Dentistry and.
Raffaele IzzoDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Stanislovas S JankauskasDepartment of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, New York, USA.
Mario FordelloneDepartment of Mental, Physical Health and Preventive Medicine and.
Giuseppe SignorielloDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy.
Maria Virginia ManziDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Maria LemboDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Paola GalloDepartment of Neuroscience, Reproductive Sciences, and Dentistry and.
Giovanni EspositoDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Roberto Piccinocchi"Luigi Vanvitelli" Hospital, Naples, Italy.
Francesco RozzaDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Carmine MoriscoDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Pasquale MoneDepartment of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, New York, USA.
Gaetano PiccinocchiCOMEGEN Primary Care Physicians Cooperative, Italian Society of General Medicine (SIMG), Naples, Italy.
Fahimeh VarzidehDepartment of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York, New York, USA.
Bruno TrimarcoDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.
Gaetano SantulliDepartment of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy.

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Einstein-Montefiore Clinical and Translational Science Award HubUM1TR004400 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Jessica Kahn, Mimi Y Kim · 2023 to 2026
$17.3M
REGULATION OF THE INSULIN RECEPTOR KINASER01DK033823 · NIDDK · UNIVERSITY OF IOWA · PI KURLAND, IRWIN JACK, PESSIN, JEFFREY E. · 1986 to 2022
$6.7M
Modulation of Mitofusin Activity to Treat Heart DiseaseR01HL159062 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KITSIS, RICHARD N · 2021 to 2024
$2.6M
Caspase-9 as a nodal point connecting necrotic and apoptotic cell death in myocardial infarctionR01HL164772 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KITSIS, RICHARD N · 2022 to 2025
$2.5M
Functional role of IP3 receptors in the regulation of cardiac myofibroblastsR01HL146691 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SANTULLI, GAETANO · 2019 to 2023
$2.1M
Mechanisms of cardiovascular diseaseT32HL144456 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Carlos Jose Rodriguez, Nicholas E Sibinga · 2019 to 2026
$1.9M
Beta Cell Intracellular Calcium and DiabetesR01DK123259 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SANTULLI, GAETANO · 2020 to 2023
$1.7M
Purposeful Outreach for Diversity and Inclusion of Underrepresented in Medicine (PODIUM) Physician-ScientistsT32HL172255 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Carmen R. Isasi, Marina Reznik · 2024 to 2026
$936k
NCATS NIH HHS UL1 TR002556NCATS NIH HHS UM1 TR004400NHLBI NIH HHS R01 HL146691NHLBI NIH HHS R01 HL159062NHLBI NIH HHS R01 HL164772NHLBI NIH HHS T32 HL144456NHLBI NIH HHS T32 HL172255NIDDK NIH HHS R01 DK033823NIDDK NIH HHS R01 DK123259
6 · The paper itself

Abstract

BACKGROUNDRecent studies conducted in individuals who survived COVID-19 suggest that SARS-CoV-2 infection is associated with an increased risk of dyslipidemia. However, it remains unclear whether this augmented risk is confirmed in the general population and how this phenomenon is affecting the overall burden of cardiometabolic diseases.METHODSTo address these aspects, we conducted a 6-year longitudinal study to examine the broader effects of COVID-19 on dyslipidemia incidence in a real-world population (228,266 individuals) residing in Naples in southern Italy. The pre-COVID-19 and COVID-19 groups were balanced for demographic and clinical factors using propensity score matching.RESULTSOur analysis spans a period of 3 years during the COVID-19 pandemic (2020-2022), comparing dyslipidemia incidence with pre-pandemic data (2017-2019), with a follow-up of at least 1,095 days corresponding to 21,349,215 person-years. During the COVID-19 period, we detected an increased risk of developing any dyslipidemia when compared with the pre-COVID-19 triennium (OR = 1.29; 95% CI, 1.19-1.39). Importantly, these estimates were adjusted for comorbidities by a multivariate analysis.CONCLUSIONSTaken together, our data reveal a notable rise in dyslipidemia incidence during the COVID-19 pandemic, suggesting the utility of establishing specialized clinical monitoring protocols for patients who survive COVID-19 to mitigate the risk of developing dyslipidemia.

Indexed as

COVID-19DyslipidemiasSARS-CoV-2AdultAgedFemaleHumansIncidenceItalyLongitudinal StudiesMaleMiddle AgedPandemicsRisk FactorsAtherosclerosisCardiologyCholesterolClinical practiceMetabolism

Identifiers

PMID39264723
PMCPMC11527440

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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.