| Literature DB >> 34032909 |
Jingjing Qiu1, Xin Yang1, Limei Liu2, Ting Wu1, Limei Cui1, Yakui Mou3, Yan Sun4.
Abstract
OBJECTIVE: A systematic review and meta-analysis were performed to evaluate the prevalence and prognosis of otorhinolaryngological symptoms in patients with the diagnosed coronavirus disease 2019 (COVID-19).Entities:
Keywords: COVID-19; Meta-analysis; Otorhinolaryngological symptoms; Review
Mesh:
Year: 2021 PMID: 34032909 PMCID: PMC8147593 DOI: 10.1007/s00405-021-06900-8
Source DB: PubMed Journal: Eur Arch Otorhinolaryngol ISSN: 0937-4477 Impact factor: 2.503
Fig. 1Study selection
Characteristics of the included studies
| references | Design | Center | Country | No. of pts (overall) | No. of pts (severe) | No. of pts (non-severel | Male N(%) | Median Age Yrs (IQR) or Mean ± SD* |
|---|---|---|---|---|---|---|---|---|
| Almazeedi2020 | Retrospective | 1 | Kuwait | 1096 | 42 | 1054 | 888 | 41 (25.0–75.0) |
| Aggarwal 2020 | Retrospective | 1 | USA | 16 | 12 | 67 (38–95) | ||
Andrikopoulou 2020 | Retrospective | 1 | New York (USA) | 158 | 34 | 124 | 0 | |
| Argenziano2020 | Retrospective | 1 | New York (USA) | 1000 | 236 | 764 | 596 | 63 (50.0–75.0) |
Boscolo‑Rizzo 2020 | Cross-sectional | Italy | 214 | |||||
Burke 2020 | questionnaire | 16 | USA | 164 | 92 | 50 | ||
Carignan 2020 | Case–control | 1 | Canada | 134 | 64 | 57.1 (41.2–64.5) | ||
Cecconi 2020 | Retrospective | 1 | Italy | 239 | 70 | 169 | 169 | 65.2 (53.8–74.5) |
Chen 2020 | descriptive | 1 | Wuhan (China) | 99 | 67 | 55.5 ± 13.1 | ||
Dell’Era 2020 | cross-sectional | 1 | Italy | 355 | 192 | 50 | ||
Du 2020a | Retrospective | 1 | Jilin (China) | 12 | 7 | 45.25 (23–79) | ||
Du 2020b | Retrospective | 1 | Shandong (China) | 53 | 1 | 52 | 26 | 41.47 (21–65) |
Duan 2020 | Retrospective | 1 | Luoyang (China) | 25 | 15 | 52 ± 19.30 | ||
Duanmu 2020 | Cross-sectional | 1 | Northern California | 100 | 13 | 87 | 56 | 45(0.5–91) |
Escalera-Antezana 2020 | Retrospective | 1 | Bolivia | 12 | 6 | 39 (25.3–43.4) | ||
Haehner 2020 | Cross-sectional | 1 | Dresden | 34 | ||||
Huang 2020a | Prospective | 1 | Wuhan (China) | 41 | 13 | 28 | 30 | 49·0 (41·0–58·0) |
Huang 2020b | Retrospective | 8 | Jiangsu (China) | 202 | 23 | 179 | 116 | 44.0 (33.0–54.0) 。 |
Kim 2020a | Retrospective | 9 | Korean | 28 | 6 | 22 | 15 | 40 (20.0–73.0) |
Kim 2020b | questionnaire | 1 | Korea | 172 | 66 | 26 (22.0–47.0) | ||
| Klopfenstein | Retrospective | 1 | France | 54 | 18 | 47 ± 16 | ||
| Kosugi | online survey | Brazil | 145 | 68 | 36 (31.0–44.0) | |||
| Lechien | online questionnaire | Belgium | 86 | 30 | 41.7 ± 11.8 | |||
| Lee | prospective | 1 | Korea | 3191 | 1161 | 44.0 (25.0–58.0) | ||
| Li2020a | Retrospective | 279 | Henan (China) | 655 | 72 | 583 | 367 | |
| Li2020b | Retrospective | 8 | Chongqing (China) | 83 | 25 | 58 | 44 | 45.5 ± 12.3 |
| Liu2020a | Retrospective | 1 | Taiwan (China) | 321 | 150 | |||
| Liu2020b | Retrospective | 9 | Hubei (China) | 137 | 61 | 57 (20–83) | ||
| Merza | prospective | 1 | Iraqi | 15 | 1 | 14 | 9 | 28.06 ± 16.42 |
| Moein | control | 1 | Iran | 60 | 6 | 54 | 40 | 46.55 ± 12.17 |
| Sierpiński | cross -sectional | 1 | Poland | 1942 | 773 | 50median | ||
| Speth | Prospective, cross-sectional | 1 | Switzerland | 103 | 50 | 46.8 ± 15.9 | ||
| Vaira2020a | Retrospective | 1 | Sassari | 72 | 27 | 49.2 ± 13.7 | ||
| Vaira2020b | prospective | 2 | Sassari | 106 | 53 | 49.6 (43.0–55.2) | ||
| Vaira2020c | cohort | 4 | Italian | 345 | 27 | 318 | 146 | 48.5 ± 12.8 |
| Wan | Retrospective | 1 | Chongqing (China) | 135 | 40 | 95 | 72 | 47 (36.0–55.0) |
| Wang2020a | Retrospective | 2 | Wuhan (China) | 107 | 19 | 88 | 57 | 51 (36.0– 65.0) |
| Wang2020a | Retrospective | 1 | Wuhan (China) | 1012 | 100 | 912 | 524 | 50 (39e58) |
| Wang2020a | Retrospective | 1 | Wuhan (China) | 69 | 14 | 55 | 32 | 42.0 (35.0–62.0) |
| Wei | Retrospective | 1 | Zengdu (China) | 276 | 14 | 262 | 155 | 51.0 (41.0–58.0) |
| Wu2020a | Retrospective | 1 | Yancheng (China) | 80 | 3 | 77 | 39 | 46.10 ± 15.42 |
| Wu2020a | Retrospective | 1 | Chongqing (China) | 80 | 42 | 44 ± 11 | ||
| Xu | Retrospective | 7 | Zhejiang (China) | 62 | 1 | 61 | 36 | 41 (32–52) |
| Yan2020a | cross-sectional | 1 | USA | 59 | 29 | |||
| Yan2020b | Retrospective | 1 | USA | 128 | 61 | |||
| Yan2020c | Retrospective | 1 | Wuhan (China) | 337 | 154 | 44 (34–55) | ||
| Yang2020a | Retrospective | 1 | Washington | 124 | 58 | 75.7 ± 13.2 | ||
| Yang2020b | Retrospective | 3 | Wenzhou (China) | 149 | 81 | 45.11 ± 13.35 | ||
| Yin | Retrospective | 1 | Hunan (China) | 33 | 16 | 46(31.5−65) | ||
| Yu | Retrospective | 1 | Wuhan (China) | 1663 | 864 | 799 | 838 | 64.0(52.0−71.0) |
| Zhang | Retrospective | 1 | Zhejaing (China) | 645 | 328 | |||
| Zhao2020a | Retrospective | 2 | Anhui (China) | 19 | 8 | 35 (27.0–46.0) | ||
| Zhao2020b | Retrospective | 1 | Huibei (China) | 91 | 30 | 61 | 49 | |
| Zheng | Retrospective | 1 | Wuhan (China) | 73 | 0 | 73 | 40 |
Fig. 2Forest plots for the prevalence of the otorhinolaryngological symptoms of COVID-19
Fig.3Effect of otorhinolaryngological symptoms on the severity of COVID-19
Fig.4Otorhinolaryngological symptoms according to COVID-19 severity (severe vs non-severe)