The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis and meta-regression
Open accessAbstract
Objective: To investigate the association between hypertension and outcome in patients with Coronavirus Disease 2019 (COVID-19) pneumonia. Methods: We performed a systematic literature search from several databases on studies that assess hypertension and outcome in COVID-19. Composite of poor outcome, comprising of mortality, severe COVID-19, acute respiratory distress syndrome (ARDS), need for intensive care unit (ICU) care and disease progression were the outcomes of interest. Results: A total of 6560 patients were pooled from 30 studies. Hypertension was associated with increased composite poor outcome (risk ratio (RR) 2.11 (95% confidence interval (CI) 1.85, 2.40), p < 0.001; I 2, 44%) and its sub-group, including mortality (RR 2.21 (1.74, 2.81), p < 0.001; I 2, 66%), severe COVID-19 (RR 2.04 (1.69, 2.47), p < 0.001; I 2 31%), ARDS (RR 1.64 (1.11, 2.43), p = 0.01; I 2,0%, p = 0.35), ICU care (RR 2.11 (1.34, 3.33), p = 0.001; I 2 18%, p = 0.30), and disease progression (RR 3.01 (1.51, 5.99), p = 0.002; I 2 0%, p = 0.55). Meta-regression analysis showed that gender ( p = 0.013) was a covariate that affects the association. The association was stronger in studies with a percentage of males < 55% compared to ⩾ 55% (RR 2.32 v. RR 1.79). Conclusion: Hypertension was associated with increased composite poor outcome, including mortality, severe COVID-19, ARDS, need for ICU care and disease progression in patients with COVID-19.
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 features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
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
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Grasselli, G., Zangrillo, A., Zanella, A., Antonelli, M., Cabrini, L., Castelli, A., Cereda, D., Coluccello, A., Foti, G., Fumagalli, R., et al. (2020) · JAMA · doi:10.1001/jama.2020.5394 · Cited by 5,469
Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China
Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., Xie, C., Ma, K., Shang, K., Wang, W., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa248 · Cited by 4,775
The global epidemiology of hypertension
Mills, K. T., Stefanescu, A., & He, J. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0244-2 · Cited by 4,133
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
Cited by
Beyerstedt, S., Casaro, E. B., & Rangel, É. B. (2021) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-04138-6 · Cited by 897
Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis
Huang, I., & Pranata, R. (2020) · Journal of Intensive Care · doi:10.1186/s40560-020-00453-4 · Cited by 662
Self-citationde Almeida-Pititto, B., Dualib, P. M., Zajdenverg, L., Dantas, J. R., de Souza, F. D., Rodacki, M., Bertoluci, M. C., & Brazilian Diabetes Society Study Group (SBD) (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00586-4 · Cited by 391
Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis
Li, X., Zhong, X., Wang, Y., Zeng, X., Luo, T., & Liu, Q. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250602 · Cited by 236
Inequality in the distribution of Covid-19 vaccine: a systematic review
Bayati, M., Noroozi, R., Ghanbari-Jahromi, M., & Jalali, F. S. (2022) · International Journal for Equity in Health · doi:10.1186/s12939-022-01729-x · Cited by 178
Metadata
- Authors
- Pranata, R., Lim, M. A., Huang, I., Raharjo, S. B., & Lukito, A. A.
- Venue
- Journal of the Renin-Angiotensin-Aldosterone System
- Publisher
- SAGE Publications
- Published
- 2020-04
- Volume
- 21
- Issue
- 2
- Pages
- 1470320320926899-1470320320926899
- ISSN
- 1470-3203 (ISSN-L)
- 1752-8976
- OpenAlex
- W3024993108
- Cited by
- 346
- References
- 49
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis and meta-regression. https://app.cochat.ai/papers/10.1177/1470320320926899
- The paper
- Pranata, R., Lim, M. A., Huang, I., Raharjo, S. B., & Lukito, A. A. (2020). Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis and meta-regression. Journal of the Renin-Angiotensin-Aldosterone System. https://doi.org/10.1177/1470320320926899
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.