Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol.
Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol.
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DOI：
10.1136/bmjopen-2022-065234
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发表时间：
2022-12-06
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
--
作者：
在COVID-19急性期存活下来的人中，有一部分会出现长期症状，通常称为长期COVID-19。鉴于与普通人群相比，医护人员（HCW）面临的急性COVID-19风险较高，HCW中的长期COVID-19的全球负担可能很大;然而，对HCW中长期COVID-19的流行率或其症状及其聚集性的了解有限。本综述旨在估计全球感染SARS-CoV-2的医护人员中长期COVID-19的汇总患病率和症状，并调查不同国家、年龄、性别、种族、疫苗接种状况和职业的差异。将进行系统综述和荟萃分析。将从2019年12月31日起检索Medline（通过奥维德）、CINAHL（通过EBSCO）、Embase（通过奥维德）、PsycINFO（通过EBSCO）、OpenGrey（灰色文献）和medRxiv（预印本服务器）。所有报告成人HCW中长期COVID-19患病率和/或症状的主要数据的研究和预印本文章都将包括在内。方法学质量将使用乔安娜布里格斯研究所报告患病率数据的研究批判性评价清单进行评估。预计结果将是全球HCW中长期COVID-19的流行率和症状轨迹。数据合成将包括对报告医护人员中SARS-CoV-2感染后长期COVID-19患病率数据的研究进行随机效应荟萃分析。结果将以95% CI表示，作为研究间的估计效应。将使用I²统计量评估异质性。如果荟萃分析不合适，将对证据进行叙述性综合。不需要伦理批准，因为数据将从已发表的文章中获得。我们将在同行评审的期刊上发表我们的研究结果，并在会议上传播我们的审查结果。CRD 42022312781。
A proportion of those who survive the acute phase of COVID-19 experience prolonged symptoms, commonly known as long COVID-19. Given that healthcare workers (HCWs) face an elevated risk of acute COVID-19 compared with the general population, the global burden of long COVID-19 in HCWs is likely to be large; however, there is limited understanding of the prevalence of long COVID-19 in HCWs, or its symptoms and their clustering. This review will aim to estimate the pooled prevalence and the symptoms of long COVID-19 among HCWs infected with SARS-CoV-2 globally, and investigate differences by country, age, sex, ethnicity, vaccination status and occupation. A systematic review and meta-analysis will be conducted. Medline (via Ovid), CINAHL (via EBSCO), Embase (via Ovid), PsycINFO (via EBSCO), OpenGrey (grey literature) and medRxiv (preprint server) will be searched from the 31 December 2019 onward. All research studies and preprint articles reporting any primary data on the prevalence and/or the symptoms of long COVID-19 among adult HCWs will be included. Methodological quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. Outcomes are anticipated to be the prevalence of long COVID-19 among HCWs around the world and trajectory of symptoms. Data synthesis will include random-effect meta-analysis for studies reporting prevalence data of long COVID-19 following SARS-CoV-2 infection among HCWs. The results will be presented with a 95% CI as an estimated effect across studies. Heterogeneity will be assessed using I² statistic. Where meta-analysis is inappropriate, a narrative synthesis of the evidence will be conducted. Ethical approval is not needed as data will be obtained from published articles. We will publish our findings in a peer-reviewed journal and disseminate the results of our review at conferences. CRD42022312781.
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影响因子：
7.5
作者：
Akbarialiabad H;Taghrir MH;Abdollahi A;Ghahramani N;Kumar M;Paydar S;Razani B;Mwangi J;Asadi-Pooya AA;Malekmakan L;Bastani B
通讯作者：
Bastani B
DOI：
10.1016/s2213-2600(21)00383-0
发表时间：
2021-11
期刊：
The Lancet. Respiratory medicine
影响因子：
--
作者：
Evans RA;McAuley H;Harrison EM;Shikotra A;Singapuri A;Sereno M;Elneima O;Docherty AB;Lone NI;Leavy OC;Daines L;Baillie JK;Brown JS;Chalder T;De Soyza A;Diar Bakerly N;Easom N;Geddes JR;Greening NJ;Hart N;Heaney LG;Heller S;Howard L;Hurst JR;Jacob J;Jenkins RG;Jolley C;Kerr S;Kon OM;Lewis K;Lord JM;McCann GP;Neubauer S;Openshaw PJM;Parekh D;Pfeffer P;Rahman NM;Raman B;Richardson M;Rowland M;Semple MG;Shah AM;Singh SJ;Sheikh A;Thomas D;Toshner M;Chalmers JD;Ho LP;Horsley A;Marks M;Poinasamy K;Wain LV;Brightling CE;PHOSP-COVID Collaborative Group
通讯作者：
PHOSP-COVID Collaborative Group
影响因子：
3.7
作者：
Moher D;Shamseer L;Clarke M;Ghersi D;Liberati A;Petticrew M;Shekelle P;Stewart LA;PRISMA-P Group
通讯作者：
PRISMA-P Group
影响因子：
4.5
作者：
Walton-Roberts, Margaret;Runnels, Vivien;Bourgeault, Ivy Lynn
通讯作者：
Bourgeault, Ivy Lynn
影响因子：
82.9
作者：
Blomberg B;Mohn KG;Brokstad KA;Zhou F;Linchausen DW;Hansen BA;Lartey S;Onyango TB;Kuwelker K;Sævik M;Bartsch H;Tøndel C;Kittang BR;Bergen COVID-19 Research Group;Cox RJ;Langeland N
通讯作者：
Langeland N