The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
COVID-19 and the role of chronic inflammation in patients with obesity
Open accessAbstract
Coronavirus disease 2019 (COVID-19) and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a particular risk to people living with preexisting conditions that impair immune response or amplify pro-inflammatory response. Low-grade chronic systemic inflammation, common in people with obesity, is associated with the development of atherosclerosis, type 2 diabetes, and hypertension, well known comorbidities that adversely affect the outcomes of patients with COVID-19. Risk stratification based on the Edmonton Obesity Staging System (EOSS), which classifies obesity based on the presence of medical, mental, and/or functional complications rather than on body mass index (BMI), has been shown to be a better predictor of all-cause mortality and it may well be that EOSS stages may better describe the risk of hyperinflammation in patients with COVID-19 infection. Analyzing a group of metabolic ill patients with obesity (EOSS 2 and 3), we found an increased interleukin-6 and linear regression analysis showed a positive correlation with C-reactive protein (CRP) ( p = 0.014) and waist-to-hip-ratio (WHR) ( p = 0.031). Physicians should be aware of these findings in patients with COVID-19 infection. Early identification of possible hyperinflammation could be fundamental and should guide decision making regarding hospitalization, early respiratory support, and therapy with immunosuppression to improve mortality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066
COVID-19: consider cytokine storm syndromes and immunosuppression
Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30628-0 · Cited by 9,664
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China
Zhang, J.-J., Dong, X., Cao, Y.-Y., Yuan, Y.-D., Yang, Y.-B., Yan, Y.-Q., Akdis, C. A., & Gao, Y.-D. (2020) · Allergy · doi:10.1111/all.14238 · Cited by 4,004
Prevalence of Obesity Among Adults and Youth: United States, 2015-2016.
Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C. L. (2017) · PubMed · Cited by 3,884
Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection?
Fang, L., Karakiulakis, G., & Roth, M. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30116-8 · Cited by 2,911
A proposed clinical staging system for obesity
Sharma, A. M., & Kushner, R. F. (2009) · International Journal of Obesity · doi:10.1038/ijo.2009.2 · Cited by 687
Self-citationComorbidities and multi-organ injuries in the treatment of COVID-19
Wang, T., Du, Z., Zhu, F., Cao, Z., An, Y., Gao, Y., & Jiang, B. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30558-4 · Cited by 632
Cited by
Obesity in patients with COVID-19: a systematic review and meta-analysis
Huang, Y., Lu, Y., Huang, Y.-M., Wang, M., Ling, W., Sui, Y., & Zhao, H.-L. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154378 · Cited by 454
Bektas, A., Schurman, S. H., Franceschi, C., & Ferrucci, L. (2020) · Immunity & Ageing · doi:10.1186/s12979-020-00196-8 · Cited by 102
Public Health and Clinical Implications of Nutrition-Infection Interactions
Vermund, S. H., Scott, M. E., & Humphries, D. L. (2021) · Nutrition and Infectious Diseases · doi:10.1007/978-3-030-56913-6_16 · Cited by 5
Metadata
- Authors
- Chiappetta, S., Sharma, A. M., Bottino, V., & Stier, C.
- Venue
- International Journal of Obesity
- Published
- 2020-05-14
- Volume
- 44
- Issue
- 8
- Pages
- 1790-1792
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W3025531395
- Cited by
- 259
- References
- 22
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: COVID-19 and the role of chronic inflammation in patients with obesity. https://app.cochat.ai/papers/10.1038/s41366-020-0597-4
- The paper
- Chiappetta, S., Sharma, A. M., Bottino, V., & Stier, C. (2020). COVID-19 and the role of chronic inflammation in patients with obesity. International Journal of Obesity. https://doi.org/10.1038/s41366-020-0597-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.