Corpus overview


Overview

MeSH Disease

Fever (4)

Fatigue (4)

Dyspnea (4)

Myalgia (4)

Diarrhea (4)


Human Phenotype

Transmission

Seroprevalence
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    Symptomatology of Coronavirus Disease MESHD 2019 (COVID-19) - Lessons from a meta-analysis across 13 countries

    Authors: Champika Saman Kumara Gamakaranage; Dineshani Hettiarachchi; Dileepa Ediriweera; Saroj Jayasinghe

    doi:10.21203/rs.3.rs-39412/v2 Date: 2020-07-01 Source: ResearchSquare

    Background: COVID-19 pandemic has resulted in varying clinical manifestations and mortality rates. There is no consensus on the symptomatology that would guide researchers and clinicians. Objective: The objective was to identify symptoms and their frequencies of COVID-19 with a meta-analysis of studies from several countries. Data sources: A systematic review using PubMed and Google Scholar data sources and reference tracing TRANS were used to identify 7176 articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included in meta-analysis. Data abstraction and analysis: PRISMA guidelines, used for data abstraction and a table was generated by feeding it with numbers and proportions of each symptom described. A meta-analysis was carried out using random effect models on each symptom separately across the studies and their prevalence SERO rates and 95% confident intervals were calculated.Results: Selected 14 studies, either cross-sectional or cohort studies are analyzed. There were 2,660 confirmed cases TRANS of COVID-19. The majority were from China (n=2,439, 91.7%) and remainder from the Netherlands, Italy, Korea and India and one article from Europe. There was a total of 32 symptoms identified from the meta-analysis and additional 7 symptoms were identified from reference searching. The most common symptoms were ( prevalence SERO >50%): fever HP fever MESHD (79.56%, 95% CI: 72.17-86.09%), malaise (63.3%, 95% CI: 53.1 – 73.0%), cough HP (56.7. %, 95% CI: 48.6 - 64.6 %) and cold (55.6%, 95% CI: 45.2 – 65.7%). Symptoms of intermediate incidence (5-49%) were; anosmia HP anosmia MESHD, sneezing HP, ocular pain HP ocular pain MESHD, fatigue HP fatigue MESHD, sputum production, arthralgia HP arthralgia MESHD, tachypnea HP tachypnea MESHD, palpitation HP, headache HP headache MESHD, chest tightness HP chest tightness MESHD, shortness of breath MESHD, chills HP, myalgia HP myalgia MESHD, sore throat, anorexia HP anorexia MESHD, weakness MESHD, diarrhea HP diarrhea MESHD, rhinorrhea HP rhinorrhea MESHD, dizziness MESHD, nausea HP nausea MESHD, altered level of consciousness, vomiting HP vomiting MESHD and abdominal pain HP abdominal pain MESHD. Rare symptoms (<5%): tonsil swelling MESHD, haemoptysis, conjunctival injection, lymphadenopathy HP lymphadenopathy MESHD and rash MESHD. Conclusion and implications of key findings: We found (25/32, from meta-analysis) symptoms to be present in =>5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified is different from those documents released by the WHO, CDC, NHS, Chinese CDC, Institute Pasteur and Mayo Clinic. The compiled list would be useful for future researchers to document a comprehensive picture of the illness.  

    Symptomatology of Coronavirus Disease MESHD 2019 (COVID-19) - Lessons from A Meta-Analysis Across 13 Countries

    Authors: Champika Saman Kumara Gamakaranage; Dineshani Hettiarachchi; Dileepa Ediriweera; Saroj Jayasinghe

    doi:10.21203/rs.3.rs-39412/v1 Date: 2020-07-01 Source: ResearchSquare

    Background: COVID-19 pandemic has resulted in varying clinical manifestations and mortality rates. There is no consensus on the symptomatology that would guide researchers and clinicians.Objective: The objective of the study was to identify symptoms and their frequencies of coronavirus disease MESHD 2019 with a meta-analysis of studies from several countries. Data sources: A systematic review using PubMed and Google Scholar data sources and reference tracing TRANS were used to identify 7176 relevant articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included for meta-analysis. Data abstraction analysis: PRISMA guideline was used for abstracting data. Then a table was generated by feeding it with numbers and proportions of each symptom described in original studies. A meta-analysis was carried out using random effect models on each symptom separately across the studies and their prevalence SERO rates and 95% confident intervals calculated.Results: We identified 14 relevant scientific papers, either cross-sectional or cohort studies and analyzed. There were 2,660 cases of COVID-19. he majority were from China (n=2,439, 91.7%) and remainder from the Netherlands, Italy, Korea and India and one article from Europe. There was a total of 32 symptoms (i.e. present in >50% of patients):  fever MESHD (79.56%, 95% CI: 72.17-86.09%), malaise (63.3%, 95% CI: 53.1 – 73.0%), cough HP (56.7. %, 95% CI: 48.6 - 64.6 %) and cold (55.6%, 95% CI: 45.2 – 65.7%). Symptoms of intermediate incidence (5-49%) were; anosmia HP anosmia MESHD, sneezing HP, ocular pain HP ocular pain MESHD, fatigue HP fatigue MESHD, sputum production, arthralgia HP arthralgia MESHD, tachypnea HP tachypnea MESHD, palpitation HP, headache HP headache MESHD, chest tightness HP chest tightness MESHD, shortness of breath MESHD, chills HP, myalgia HP myalgia MESHD, sore throat, anorexia HP anorexia MESHD, weakness MESHD, diarrhea HP diarrhea MESHD, rhinorrhea HP rhinorrhea MESHD, dizziness MESHD, nausea HP nausea MESHD, altered level of consciousness, vomiting HP vomiting MESHD and abdominal pain HP abdominal pain MESHD. Rare symptoms (<5% of patients) were: tonsil swelling, haemoptysis, conjunctival injection, lymphadenopathy HP lymphadenopathy MESHD and rash MESHD were uncommon symptoms of coronavirus disease MESHD (<5%).Conclusion and implications of key findings: We found (25/32) symptoms to be present in =>5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified are different from those documents released by the WHO, CDC, NHS, Chinese CDC, Institute Pasteur and Mayo Clinic. The compiled list would be useful for future researchers to document a comprehensive picture of the illness.

    The influence of comorbidity on the severity of COVID-19 disease: A systematic review and analysis

    Authors: Nazar Zaki; Elfadil Abdalla Mohamed; Sahar Ibrahim; Gulfaraz Khan

    doi:10.21203/rs.3.rs-37127/v2 Date: 2020-06-20 Source: ResearchSquare

    Background: A novel form of coronavirus disease MESHD (SARS-CoV-2) has spread rapidly across the world. What risk factors influence the severity of the disease is of considerable importance.Aim: This research offers a systematic review and meta-analysis of the correlation between common clinical conditions and comorbidities and the severity of COVID-19.Methodology: Two independent researchers searched Europe PMC, Google Scholar, and PubMed databases for articles related to influence comorbidities have on the progress of the disease. A search engine was also created to screen a further 59,000 articles in COVID-19 Open Research Dataset (CORD-19). Random-effects modeling was used to pool 95% confidence intervals (CIs) and odds ratios (ORs). The significance of all comorbidities and clinical conditions to the severity of the disease was evaluated by employing machine-learning techniques. Publication bias was assessed by using funnel-plots and Egger’s test. Heterogeneity was tested using I2.Results: The meta-analysis incorporated 12 studies spanning 4,101 confirmed COVID-19 patients who were admitted to Chinese hospitals. The prevalence SERO of the most commonly associated co-morbidities and their corresponding odds ratio for disease severity were as follows: coronary heart disease MESHD (OR 2.97 [CI: 1.99-4.45], p < 0.0001), cancer MESHD (OR 2.65 [CI: 1.12-6.29], p < 0.03), cardiovascular disease MESHD (OR 2.89 [CI: 1.90-4.40], p < 0.0001), COPD MESHD (OR 3.24 [CI: 1.66-6.32], p = 0.0), and kidney disease MESHD (OR 2.2.4 [CI: 1.01-4.99], p = 0.05) with low or moderate level of heterogeneity. The most frequently exhibited clinical symptoms were fever HP fever MESHD (OR 1.37 [CI: 1.01-1.86], p = 0.04), myalgia HP myalgia MESHD/ fatigue HP fatigue MESHD (OR 1.31 [CI: 1.11-1.55], p = 0.0018), and dyspnea HP dyspnea MESHD (OR 3.61, [CI: 2.57-5.06], p = <0.0001). No significant associations between disease severity and liver disease MESHD, smoking habits, and other clinical conditions, such as a cough HP, respiratory/ARDS, diarrhea HP diarrhea MESHD or chest tightness HP chest tightness MESHD/ pain HP pain MESHD were found. The meta-analysis also revealed that the incubation period TRANS was positively associated with disease severity. Conclusion: Existing comorbidities, including COPD, cardiovascular disease MESHD, and coronary heart disease MESHD, increase the severity of COVID-19. Some studies found a statistically significant association between comorbidities such as diabetes MESHD and hypertension HP hypertension MESHD and disease severity. However, these studies may be biased due to substantial heterogeneity. 

    The influence of comorbidity on the severity of COVID-19 disease: A scoping review and meta-analysis

    Authors: Nazar Zaki; Elfadil Abdalla Mohamed; Sahar Ibrahim; Gulfaraz Khan

    doi:10.21203/rs.3.rs-37127/v3 Date: 2020-06-20 Source: ResearchSquare

    Background: A novel form of coronavirus disease MESHD (SARS-CoV-2) has spread rapidly across the world. What risk factors influence the severity of the disease is of considerable importance. Objectives: This research offers a systematic review and meta-analysis of the correlation between common clinical conditions and comorbidities and the severity of COVID-19. Methodology: Two independent researchers searched Europe PMC, Google Scholar, and PubMed databases for articles related to influence comorbidities have on the progress of the disease. A search engine was also created to screen a further 59,000 articles in COVID-19 Open Research Dataset (CORD-19). Random-effects modeling was used to pool 95% confidence intervals (CIs) and odds ratios (ORs). The significance of all comorbidities and clinical conditions to the severity of the disease was evaluated by employing machine-learning techniques. Publication bias was assessed by using funnel-plots and Egger’s-test. Heterogeneity was tested using I2. Results: The meta-analysis incorporated 12 studies spanning 4,101 confirmed COVID-19 patients who were admitted to Chinese hospitals. The prevalence SERO of the most commonly associated co-morbidities and their corresponding odds ratio for disease severity were as follows: coronary heart disease (OR 2.97 [CI: 1.99-4.45], p < 0.0001), cancer (OR 2.65 [CI: 1.12-6.29], p < 0.03), cardiovascular disease (OR 2.89 [CI: 1.90-4.40], p < 0.0001), COPD (OR 3.24 [CI: 1.66-6.32], p = 0.0), and kidney disease (OR 2.2.4 [CI: 1.01-4.99], p = 0.05) with low or moderate level of heterogeneity. The most frequently exhibited clinical symptoms recorded during the course of admission were fever HP (OR 1.37 [CI: 1.01-1.86], p = 0.04), myalgia HP/ fatigue HP (OR 1.31 [CI: 1.11-1.55], p = 0.0018), and dyspnea HP (OR 3.61, [CI: 2.57-5.06], p = <0.0001). No significant associations between disease severity and liver disease, smoking habits, and other clinical conditions, such as a cough HP, respiratory/ARDS, diarrhea HP or chest tightness HP/ pain HP were found. The meta-analysis also revealed that the incubation period TRANS was positively associated with disease severity. Conclusion: Existing comorbidities, including COPD, cardiovascular disease, and coronary heart disease, increase the severity of COVID-19. Some studies found a statistically significant association between comorbidities such as diabetes and hypertension HP and disease severity. However, these studies may be biased due to substantial heterogeneity.

    Association of age TRANS, sex, comorbidities, and clinical symptoms with the severity and mortality of COVID-19 cases: a meta-analysis with 85 studies and 67299 cases

    Authors: Mohammad Safiqul Islam; Md. Abdul Barek; Md. Abdul Aziz; Tutun Das Aka; Md. Jakaria

    doi:10.1101/2020.05.23.20110965 Date: 2020-05-26 Source: medRxiv

    Background: A new pathogenic disease named COVID-19 became a global threat, first reported in Wuhan, China, in December 2019. The number of affected cases growing exponentially and now, more than 210 countries confirmed the cases TRANS. Objective: This meta-analysis aims to evaluate risk factors, the prevalence SERO of comorbidity, and clinical characteristics in COVID-19 death MESHD patients compared to survival patients that can be used as a reference for further research and clinical decisions. Methods: PubMed, Science Direct, SAGE were searched to collect data about demographic, clinical characteristics, and comorbidities of confirmed COVID-19 patients from January 1, 2020, to May 17, 2020. Meta-analysis was performed with the use of Review Manager 5.3 Results: Eighty-five studies were included in Meta-analysis, including a total number of 67,299 patients with SARS-CoV-2 infection MESHD. Males TRANS are severely affected or died than females TRANS (OR = 2.26, p < 0.00001; OR = 3.59, p < 0.00001) are severely affected, or died by COVID-19 and cases with age TRANS [≥]50 are at higher risk of death MESHD than age TRANS <50 years (OR=334.23). Presence of any comorbidity or comorbidities like hypertension HP hypertension MESHD, cardiovascular disease MESHD, diabetes MESHD, cerebrovascular disease MESHD, respiratory disease MESHD, kidney disease MESHD, liver disease MESHD, malignancy MESHD significantly increased the risk of death compared to survival (OR = 3.46, 3.16, 4.67, 2.45, 5.84, 2.68, 5.62, 2.81,2.16). Among the clinical characteristics such as fever HP fever MESHD, cough HP cough MESHD, myalgia HP myalgia MESHD, diarrhea HP diarrhea MESHD, abdominal pain HP abdominal pain MESHD, dyspnea HP dyspnea MESHD, fatigue HP fatigue MESHD, sputum production, chest tightness HP chest tightness MESHD headache HP and nausea or vomiting HP nausea or vomiting MESHD, only fatigue HP fatigue MESHD (OR = 1.31, 95%) and dyspnea HP dyspnea MESHD increased the death significantly (OR= 1.31, 4.57). The rate of death of COVID-19 cases is 0.03-times lower than the rate of survival (OR = 0.03). Conclusion Our result indicates that male TRANS patients are affected severely or died, the rate of death is more in the age TRANS [≥]50 group, and the rate of death is affected by comorbidities and clinical symptoms.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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