| Literature DB >> 32627913 |
John G Lawrenson1, Roger J Buckley1,2.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32627913 PMCID: PMC7361197 DOI: 10.1111/opo.12708
Source DB: PubMed Journal: Ophthalmic Physiol Opt ISSN: 0275-5408 Impact factor: 3.992
Prevalence of conjunctivitis in COVID 19
| Study | Location | Sample size | Cases of presumed conjunctivitis | Conjunctival swab/tears taken | Positive result |
|---|---|---|---|---|---|
| Chen 2020 | China | 534 | 25 | No | N/A |
| Guan 2020 | China | 1099 | 9 | No | N/A |
| Lan 2020 | China | 81 | 0 | Yes | 0/3 |
| Seah 2020 | Singapore | 17 | 1 | Yes | 0/17 |
| Wu 2020 | China | 38 | 12 | Yes | 2/28 |
| Xia 2020 | China | 30 | 1 | Yes | 1/30 |
| Ye 2020 | China | 30 | 3 | Yes | 5/27 |
| Zhang 2020 | China | 72 | 2 | Yes | I/2 |
| Zhou 2020 | China | 63 | 1 | Yes | 3/63 |
Figure 1Forest plot of the prevalence of presumed conjunctivitis in hospitalised patients with COVID‐19. The Freeman‐Tukey Double Arcsine Transformation was used to stabilize the variances prior to pooling using fixed and random effects models.
Figure 2Forest plot of the proportion of positive tests from conjunctival swab/tear samples in hospitalised patients with COVID‐19.