The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Clinical manifestations of COVID-19 in the general population: systematic review
Open accessAbstract
Clinical manifestations of COVID-19 are varied in the general population. This study aimed to systematize the literature regarding clinical manifestations of patients with confirmed COVID-19. A systematic review of the literature was conducted. A total of 8070 scientific productions were found in the databases. Among the studies, 184 met the initial inclusion criteria, with a total of 114,046 patients. After complete reading, 32 studies that did not report clinical manifestations were excluded. The 152 publications finally included a total of 41,409 individuals from at least 23 countries and 26 different clinical manifestations were reported. In percentage terms, 6 symptoms had a general prevalence greater than or equal to 25%, namely, fever (58.66%), cough (54.52%), dyspnea (30.82%), malaise (29.75%), fatigue (28.16%) and sputum/secretion (25.33%). Neurological symptoms (20.82%), dermatological manifestations (20.45%), anorexia (20.26%), myalgia (16.9%), sneezing (14.71%), sore throat (14.41%), rhinitis (14.29%), goosebumps (13.49%), headache (12.17%), chest pain (11.49%) and diarrhea (9.59%) were other common symptoms. Only one study reported dermatological manifestations. The least frequent sign/symptom was hemoptysis (1.65%). In studies with more than 100 patients, the 3 main symptoms were fever (57.93%), cough (54.21%), and dyspnea (30.64%). Dermatological manifestations do not appear among the main symptoms. The identification of all clinical manifestations of COVID-19 is essential for an early diagnosis and the adoption of preventive measures.
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
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Xu, X.-W., Wu, X.-X., Jiang, X.-G., Xu, K.-J., Ying, L.-J., Ma, C.-L., Li, S.-B., Wang, H.-Y., Zhang, S., Gao, H.-N., et al. (2020) · BMJ · doi:10.1136/bmj.m606 · Cited by 2,046
Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients
Liu, K., Chen, Y., Lin, R., & Han, K. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.005 · Cited by 1,642
The SARS-CoV-2 outbreak: What we know
Wu, D., Wu, T., Liu, Q., & Yang, Z. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.004 · Cited by 1,431
COVID‐19 diagnosis and management: a comprehensive review
Pascarella, G., Strumia, A., Piliego, C., Bruno, F., Del Buono, R., Costa, F., Scarlata, S., & Agrò, F. E. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13091 · Cited by 1,369
Cutaneous manifestations in COVID‐19: a first perspective
Recalcati, S. (2020) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.16387 · Cited by 1,348
Brann, D. H., Tsukahara, T., Weinreb, C., Lipovsek, M., Van den Berge, K., Gong, B., Chance, R., Macaulay, I. C., Chou, H.-J., Fletcher, R. B., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc5801 · Cited by 1,198
Guyton, A. C., & Hall, J. E. (2011) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1,096
Metadata
- Authors
- da Rosa Mesquita, R., Francelino Silva Junior, L. C., Santos Santana, F. M., Farias de Oliveira, T., Campos Alcântara, R., Monteiro Arnozo, G., Rodrigues da Silva Filho, E., Galdino dos Santos, A. G., Oliveira da Cunha, E. J., Salgueiro de Aquino, S. H., & Freire de Souza, C. D.
- Venue
- Wiener klinische Wochenschrift
- Published
- 2020-11-26
- Volume
- 133
- Issue
- 7-8
- Pages
- 377-382
- ISSN
- 0043-5325 (ISSN-L)
- 1613-7671
- OpenAlex
- W3109609475
- Cited by
- 394
- References
- 29
- FWCI
- 4.11
- 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: Clinical manifestations of COVID-19 in the general population: systematic review. https://app.cochat.ai/papers/10.1007/s00508-020-01760-4
- The paper
- da Rosa Mesquita, R., Francelino Silva Junior, L. C., Santos Santana, F. M., Farias de Oliveira, T., Campos Alcântara, R., Monteiro Arnozo, G., Rodrigues da Silva Filho, E., Galdino dos Santos, A. G., Oliveira da Cunha, E. J., Salgueiro de Aquino, S. H., & Freire de Souza, C. D. (2021). Clinical manifestations of COVID-19 in the general population: systematic review. Wiener klinische Wochenschrift. https://doi.org/10.1007/s00508-020-01760-4
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.
