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Characterising long COVID: a living systematic review.

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TLDR
In this article, a living systematic review was conducted to synthesize evidence on Long Covid characteristics, to inform clinical management, rehabilitation, and interventional studies to improve long term outcomes.
Abstract
Background: While it is now apparent clinical sequelae (often called Long Covid) may persist after acute Covid-19, their nature, frequency, and aetiology are poorly characterised. This study aims to regularly synthesise evidence on Long Covid characteristics, to inform clinical management, rehabilitation, and interventional studies to improve long term outcomes. Methods: A living systematic review. Medline, CINAHL (EBSCO), Global Health (Ovid), WHO Global Research Database on Covid-19, LitCOVID, and Google Scholar were searched up to 17th March 2021. Published studies including at least 100 people with confirmed or clinically suspected Covid-19 at 12 weeks or more post-onset were included. Results were analysed using descriptive statistics and meta-analyses to estimate prevalence with 95% confidence intervals (CIs). Results: Thirty-nine studies were included: 32 cohort, six cross-sectional, and one case-control. Most showed high or moderate risk of bias. None were set in low-income countries, limited studies included children. Studies reported on 10,951 people (48% female) in 12 countries. Most followed-up post hospital discharge (78%, 8520/10951). The longest mean follow-up was 221.7 (SD: 10.9) days post Covid-19 onset. An extensive range of symptoms with wide prevalence was reported, most commonly weakness (41%; 95% CI 25% to 59%), malaise (33%; 95% CI 15% to 57%), fatigue (31%; 95% CI 24% to 39%), concentration impairment (26%; 95% CI 21% to 32%), and breathlessness (25%; 95% CI 18% to 34%). Other frequent symptoms included musculoskeletal, neurological, and psychological. 37% (95% CI 18% to 60%) of people reported reduced quality of life. Conclusion: Long Covid is a complex condition with heterogeneous symptoms. The nature of the studies precludes a precise case definition or evaluation of risk factors. There is an urgent need for prospective, robust, standardised controlled studies into aetiology, risk factors, and biomarkers to characterise Long Covid in different at-risk populations and settings. Systematic review registration: The protocol was prospectively registered on the PROSPERO database (CRD42020211131).

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Journal ArticleDOI

Demographic And Clinical Factors Associated With Long COVID.

Zirui Song, +1 more
- 01 Mar 2023 - 
TL;DR: In this article , the authors examined demographic and clinical factors associated with long COVID, using two definitions of people who suffer symptoms long after they were first diagnosed with COVID-19 ("long haulers").
Journal ArticleDOI

Prevalence and risk factors of long COVID 6–12 months after infection with the Omicron variant among nonhospitalized patients in Hong Kong

TL;DR: In this paper , the prevalence and risk factors associated with long COVID 6-12 months after infection with the Omicron variant were analyzed. But little is known about the prevalence of long CO VID among patients with COVID19.
Journal ArticleDOI

Late Complications of COVID-19; An Umbrella Review on Current Systematic Reviews

TL;DR: In this article , a comprehensive review of the available evidence of late complications related to COVID-19 was conducted, using keywords, through electronic databases, which included Scopus, Web of Science, PubMed, and Embase.
Journal ArticleDOI

Long COVID symptoms in Israeli children with and without a history of SARS-CoV-2 infection: a cross-sectional study

TL;DR: In this article , the prevalence of long COVID symptoms in children with and without a history of SARS-CoV-2 infection and the factors associated with these symptoms were evaluated.
References
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ggplot2: Elegant Graphics for Data Analysis

TL;DR: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.
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Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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Rayyan-a web and mobile app for systematic reviews.

TL;DR: The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users.
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