What are the best methods for rapid reviews of the research evidence? A systematic review of reviews and primary studies.

Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review. Review stages for which reviews and primary studies were sought included the preparation of a protocol, question formulation, inclusion criteria, searching, selection, data extraction, RoB assessment, synthesis, and reporting. We searched 11 electronic databases in April 2022, and conducted some supplementary searching. Reviewers worked in pairs to screen, select, extract data, and assess the RoB of included reviews and studies. We included 15 systematic reviews, 7 scoping reviews, and 65 primary studies. We found that several commonly used shortcuts in rapid reviews are likely to increase the RoB in the results. These include restrictions based on publication date, use of a single electronic database as a source of studies, and use of a single reviewer for screening titles and abstracts, selecting studies based on the full-text, and for extracting data. Authors of rapid reviews should be transparent in reporting their use of these shortcuts and acknowledge the possibility of them causing bias in the results. This review also highlights shortcuts that can save time without increasing the risk of bias. Further research is needed for both systematic and rapid reviews on faster methods for accurate data extraction and RoB assessment, and on development of more precise search strategies.

Hospital readmissions and emergency department re-presentation of COVID-19 patients: a systematic review.

Objective: To characterize the frequency, causes, and predictors of readmissions of COVID-19 patients after discharge from heath facilities or emergency departments, interventions used to reduce readmissions, and outcomes of COVID-19 patients discharged from such settings. Methods: We performed a systematic review for case series and observational studies published between January 2020 and April 2021 in PubMed, Embase, LILACS, and MedRxiv, reporting the frequency, causes, or risk factors for readmission of COVID-19 survivors/patients. We conducted a narrative synthesis and assessed the methodological quality using the JBI critical appraisal checklist. Results: We identified 44 studies including data from 10 countries. The overall 30-day median readmission rate was 7.1%. Readmissions varied with the length of follow-up, occurring <10.5%, <14.5%, <21.5%, and <30%, respectively, for 10, 30, 60, and 253 days following discharge. Among those followed up for 30 and 60 days, the median time from discharge to readmission was 3 days and 8-11 days, respectively. The significant risk factor associated with readmission was having shorter length of stay, and the important causes included respiratory or thromboembolic events and chronic illnesses. Emergency department re-presentation was >20% in four studies. Risk factors associated with mortality were male gender, advanced age, and comorbidities. Conclusions: Readmission of COVID-19 survivors is frequent, and post-discharge mortality is significant in specific populations. There is an urgent need to further examine underlying reasons for early readmission and to prevent additional readmissions and adverse outcomes in COVID-19 survivors.

Hospital readmissions and emergency department re-presentation of COVID-19 patients: a systematic review

[ABSTRACT]. Objective. To characterize the frequency, causes, and predictors of readmissions of COVID-19 patients after discharge from heath facilities or emergency departments, interventions used to reduce readmissions, and outcomes of COVID-19 patients discharged from such settings. Methods. We performed a systematic review for case series and observational studies published between January 2020 and April 2021 in PubMed, Embase, LILACS, and MedRxiv, reporting the frequency, causes, or risk factors for readmission of COVID-19 survivors/patients. We conducted a narrative synthesis and assessed the methodological quality using the JBI critical appraisal checklist. Results. We identified 44 studies including data from 10 countries. The overall 30-day median readmission rate was 7.1%. Readmissions varied with the length of follow-up, occurring <10.5%, <14.5%, <21.5%, and <30%, respectively, for 10, 30, 60, and 253 days following discharge. Among those followed up for 30 and 60 days, the median time from discharge to readmission was 3 days and 8–11 days, respectively. The sig- nificant risk factor associated with readmission was having shorter length of stay, and the important causes included respiratory or thromboembolic events and chronic illnesses. Emergency department re-presenta- tion was >20% in four studies. Risk factors associated with mortality were male gender, advanced age, and comorbidities. Conclusions. Readmission of COVID-19 survivors is frequent, and post-discharge mortality is significant in specific populations. There is an urgent need to further examine underlying reasons for early readmission and to prevent additional readmissions and adverse outcomes in COVID-19 survivors.

[RESUMEN]. Objetivo. Caracterizar la frecuencia, las causas y los factores predictores del reingreso de pacientes con COVID–19 tras haber recibido el alta de un centro de salud o un servicio de urgencias, las intervenciones utilizadas para reducir los reingresos y los resultados de los pacientes con COVID-19 dados de alta de dichos entornos. Métodos. Se realizó una revisión sistemática de estudios de serie de casos y estudios observacionales publi- cados entre enero del 2020 y abril del 2021 en PubMed, Embase, LILACS y MedRxiv en los cuales se informó sobre la frecuencia, las causas o los factores de riesgo relativos al reingreso de pacientes y sobrevivientes de COVID-19. Se realizó una síntesis narrativa y se evaluó la calidad metodológica utilizando la lista de verifi- cación de evaluación crítica de JBI. Resultados. Se encontraron 44 estudios con datos de 10 países. La tasa media general de reingreso a los 30 días fue de 7,1%. Los reingresos variaron con la duración del seguimiento, y tuvieron lugar en <10,5%, <14,5%, <21,5% y <30%, respectivamente, a los 10, 30, 60 y 253 días después del alta. Entre los que reci- bieron seguimiento por 30 y 60 días, el tiempo medio entre el alta y la readmisión fue de 3 y de 8 a 11 días, respectivamente. El factor de riesgo significativo asociado al reingreso fue una estancia más corta, y entre las causas importantes se encontraron episodios respiratorios o tromboembólicos y enfermedades crónicas. El reingreso en el servicio de urgencias fue de >20% en cuatro estudios. Los factores de riesgo asociados con la mortalidad fueron sexo masculino, edad avanzada y comorbilidades. Conclusión. El reingreso de sobrevivientes de COVID-19 es frecuente, y la mortalidad después del alta es significativa en grupos poblacionales específicos. Existe una necesidad urgente de seguir examinando las razones subyacentes del reingreso temprano, así como de prevenir reingresos adicionales y resultados adversos en los sobrevivientes de COVID–19.

[RESUMO]. Objetivo. Caracterizar a frequência, as causas e os preditores de reinternação de pacientes com COVID-19 após a alta do estabelecimento de saúde ou do pronto-socorro, intervenções usadas para reduzir reinter- nações e desfechos de pacientes com COVID-19 que receberam alta de tais instalações. Métodos. Revisão sistemática de séries de casos e estudos observacionais publicados entre janeiro de 2020 e abril de 2021, indexados nos bancos de dados PubMed, Embase, LILACS e MedRxiv, que relatassem a fre- quência, as causas ou os fatores de risco para a reinternação de sobreviventes da COVID-19/pacientes com COVID-19. Realizamos uma síntese narrativa das evidências e avaliamos a qualidade metodológica utilizando a checklist de avaliação crítica do Joanna Briggs Institute (JBI). Resultados. Foram identificados 44 estudos, incluindo dados de 10 países. O índice médio geral de reinter- nação em 30 dias foi de 7,1%. A frequência das reinternações variou com o tempo de acompanhamento, com <10,5%, <14,5%, <21,5% e <30%, respectivamente, ocorrendo nos primeiros 10, 30, 60 e 253 dias após a alta. Dentre aqueles seguidos por 30 e 60 dias, o tempo médio da alta até a reinternação foi de 3 dias e 8 a 11 dias, respectivamente. O único fator de risco significativamente associado à reinternação foi ter um tempo de permanência hospitalar mais curto, e as causas importantes incluíram eventos respiratórios ou tromboembóli- cos e doenças crônicas. Em quatro estudos, >20% dos pacientes retornaram ao pronto-socorro. Os fatores de risco associados à mortalidade foram sexo masculino, idade avançada e comorbidades. Conclusões. A reinternação hospitalar é frequente em sobreviventes da COVID-19 e a mortalidade pós-alta é significativa em populações específicas. Há uma necessidade urgente de examinar melhor as razões que levam à reinternação precoce e de evitar reinternações adicionais e desfechos adversos em sobreviventes da COVID-19.

Cardiac Manifestations in Patients with COVID-19: A Scoping Review.

Background: Coronavirus disease 2019 (COVID-19), commonly affects the lungs, but the involvement of other organs, particularly the heart, is highly prevalent as has been reported in several studies. The overall aim of this review was to provide an in-depth description of the available literature related to the cardiac system and COVID-19 infection. It focuses on type and the frequency of cardiac manifestations, clinical parameters and cardiac biomarkers that support the prognosis of COVID-19 patients, and the cardiac adverse events and outcomes related to pharmacotherapy. Methods: A scoping review was conducted searching Embase, PubMed, Epistomonikos, Medrxiv, BioRxiv databases, up to November 2020, for systematic reviews relevant to cardiac manifestations in adult COVID-19 patients. Relevant articles were screened and extracted to summarize key outcomes and findings. Results: A total of 63 systematic reviews met the inclusion criteria. The overall frequency of acute cardiac injury ranged from 15% to 33% in the reporting studies. The main cardiac complications were arrhythmias (3.1% to 6.9% in non-severe patients, 33.0% to 48.0% in severe disease), acute coronary syndromes (6% to 33% in severe disease), and myocarditis. Most studies found no association with the use of Renin-angiotensin-aldosterone system inhibitors (RAASI) with COVID-19 outcomes such as susceptibility to infection, hospitalization, severity, and mortality. Conclusion: This study provided an overview of the several cardiac complications associated with Covid-19. Cardiac injury, arrhythmias, myocarditis, cardiac failure, and acute coronary syndrome, are prevalent and clinically significant and associated with COVID-19 disease severity and mortality. Other studies are needed to clearly identify what is the part of viral heart infection and what is the part of cardiac injury secondary to acute respiratory failure and inflammation. In the therapeutic field, these systematic reviews gave heterogenous results. This underlines the importance of randomized trials to determine the right therapeutic approach.

Bias as a source of inconsistency in ivermectin trials for COVID-19: A systematic review. Ivermectin's suggested benefits are mainly based on potentially biased results.

OBJECTIVE: The objective of this systematic review is to summarize the effects of ivermectin for the prevention and treatment of patients with COVID-19 and to assess inconsistencies in results from individual studies with focus on risk of bias due to methodological limitations. METHODS: We searched the L.OVE platform through July 6, 2021 and included randomized trials (RCTs) comparing ivermectin to standard or other active treatments. We conducted random-effects pairwise meta-analysis, assessed the certainty of evidence using the GRADE approach and performed sensitivity analysis excluding trials with risk of bias. RESULTS: We included 29 RCTs which enrolled 5592 cases. Overall, the certainty of the evidence was very low to low suggesting that ivermectin may result in important benefits. However, after excluding trials classified as "high risk" or "some concerns" in the risk of bias assessment, most estimates of effect changed substantially: Compared to standard of care, low certainty evidence suggests that ivermectin may not reduce mortality (RD 7 fewer per 1000) nor mechanical ventilation (RD 6 more per 1000), and moderate certainty evidence shows that it probably does not increase symptom resolution or improvement (RD 14 more per 1000) nor viral clearance (RD 12 fewer per 1000). CONCLUSION: Ivermectin may not improve clinically important outcomes in patients with COVID-19 and its effects as a prophylactic intervention in exposed individuals are uncertain. Previous reports concluding important benefits associated with ivermectin are based on potentially biased results reported by studies with substantial methodological limitations. Further research is needed.

Hospital readmissions and emergency department re-presentation of COVID-19 patients: a systematic review / Reingreso de pacientes con COVID-19 a salas de hospitalización y servicios de urgencias: una revisión sistemática / Reinternação hospitalar e retorno ao pronto-socorro de pacientes com COVID-19: revisão sistemática

ABSTRACT Objective. To characterize the frequency, causes, and predictors of readmissions of COVID-19 patients after discharge from heath facilities or emergency departments, interventions used to reduce readmissions, and outcomes of COVID-19 patients discharged from such settings. Methods. We performed a systematic review for case series and observational studies published between January 2020 and April 2021 in PubMed, Embase, LILACS, and MedRxiv, reporting the frequency, causes, or risk factors for readmission of COVID-19 survivors/patients. We conducted a narrative synthesis and assessed the methodological quality using the JBI critical appraisal checklist. Results. We identified 44 studies including data from 10 countries. The overall 30-day median readmission rate was 7.1%. Readmissions varied with the length of follow-up, occurring <10.5%, <14.5%, <21.5%, and <30%, respectively, for 10, 30, 60, and 253 days following discharge. Among those followed up for 30 and 60 days, the median time from discharge to readmission was 3 days and 8-11 days, respectively. The significant risk factor associated with readmission was having shorter length of stay, and the important causes included respiratory or thromboembolic events and chronic illnesses. Emergency department re-presentation was >20% in four studies. Risk factors associated with mortality were male gender, advanced age, and comorbidities. Conclusions. Readmission of COVID-19 survivors is frequent, and post-discharge mortality is significant in specific populations. There is an urgent need to further examine underlying reasons for early readmission and to prevent additional readmissions and adverse outcomes in COVID-19 survivors.

RESUMEN Objetivo. Caracterizar la frecuencia, las causas y los factores predictores del reingreso de pacientes con COVID-19 tras haber recibido el alta de un centro de salud o un servicio de urgencias, las intervenciones utilizadas para reducir los reingresos y los resultados de los pacientes con COVID-19 dados de alta de dichos entornos. Métodos. Se realizó una revisión sistemática de estudios de serie de casos y estudios observacionales publicados entre enero del 2020 y abril del 2021 en PubMed, Embase, LILACS y MedRxiv en los cuales se informó sobre la frecuencia, las causas o los factores de riesgo relativos al reingreso de pacientes y sobrevivientes de COVID-19. Se realizó una síntesis narrativa y se evaluó la calidad metodológica utilizando la lista de verificación de evaluación crítica de JBI. Resultados. Se encontraron 44 estudios con datos de 10 países. La tasa media general de reingreso a los 30 días fue de 7,1%. Los reingresos variaron con la duración del seguimiento, y tuvieron lugar en <10,5%, <14,5%, <21,5% y <30%, respectivamente, a los 10, 30, 60 y 253 días después del alta. Entre los que recibieron seguimiento por 30 y 60 días, el tiempo medio entre el alta y la readmisión fue de 3 y de 8 a 11 días, respectivamente. El factor de riesgo significativo asociado al reingreso fue una estancia más corta, y entre las causas importantes se encontraron episodios respiratorios o tromboembólicos y enfermedades crónicas. El reingreso en el servicio de urgencias fue de >20% en cuatro estudios. Los factores de riesgo asociados con la mortalidad fueron sexo masculino, edad avanzada y comorbilidades. Conclusión. El reingreso de sobrevivientes de COVID-19 es frecuente, y la mortalidad después del alta es significativa en grupos poblacionales específicos. Existe una necesidad urgente de seguir examinando las razones subyacentes del reingreso temprano, así como de prevenir reingresos adicionales y resultados adversos en los sobrevivientes de COVID-19.

RESUMO Objetivo. Caracterizar a frequência, as causas e os preditores de reinternação de pacientes com COVID-19 após a alta do estabelecimento de saúde ou do pronto-socorro, intervenções usadas para reduzir reinternações e desfechos de pacientes com COVID-19 que receberam alta de tais instalações. Métodos. Revisão sistemática de séries de casos e estudos observacionais publicados entre janeiro de 2020 e abril de 2021, indexados nos bancos de dados PubMed, Embase, LILACS e MedRxiv, que relatassem a frequência, as causas ou os fatores de risco para a reinternação de sobreviventes da COVID-19/pacientes com COVID-19. Realizamos uma síntese narrativa das evidências e avaliamos a qualidade metodológica utilizando a checklist de avaliação crítica do Joanna Briggs Institute (JBI). Resultados. Foram identificados 44 estudos, incluindo dados de 10 países. O índice médio geral de reinternação em 30 dias foi de 7,1%. A frequência das reinternações variou com o tempo de acompanhamento, com <10,5%, <14,5%, <21,5% e <30%, respectivamente, ocorrendo nos primeiros 10, 30, 60 e 253 dias após a alta. Dentre aqueles seguidos por 30 e 60 dias, o tempo médio da alta até a reinternação foi de 3 dias e 8 a 11 dias, respectivamente. O único fator de risco significativamente associado à reinternação foi ter um tempo de permanência hospitalar mais curto, e as causas importantes incluíram eventos respiratórios ou tromboembólicos e doenças crônicas. Em quatro estudos, >20% dos pacientes retornaram ao pronto-socorro. Os fatores de risco associados à mortalidade foram sexo masculino, idade avançada e comorbidades. Conclusões. A reinternação hospitalar é frequente em sobreviventes da COVID-19 e a mortalidade pós-alta é significativa em populações específicas. Há uma necessidade urgente de examinar melhor as razões que levam à reinternação precoce e de evitar reinternações adicionais e desfechos adversos em sobreviventes da COVID-19.

Pathological findings in organs and tissues of patients with COVID-19: A systematic review.

BACKGROUND: Coronavirus disease (COVID-19) is the pandemic caused by SARS-CoV-2 that has caused more than 2.2 million deaths worldwide. We summarize the reported pathologic findings on biopsy and autopsy in patients with severe/fatal COVID-19 and documented the presence and/or effect of SARS-CoV-2 in all organs. METHODS AND FINDINGS: A systematic search of the PubMed, Embase, MedRxiv, Lilacs and Epistemonikos databases from January to August 2020 for all case reports and case series that reported histopathologic findings of COVID-19 infection at autopsy or tissue biopsy was performed. 603 COVID-19 cases from 75 of 451 screened studies met inclusion criteria. The most common pathologic findings were lungs: diffuse alveolar damage (DAD) (92%) and superimposed acute bronchopneumonia (27%); liver: hepatitis (21%), heart: myocarditis (11.4%). Vasculitis was common only in skin biopsies (25%). Microthrombi were described in the placenta (57.9%), lung (38%), kidney (20%), Central Nervous System (CNS) (18%), and gastrointestinal (GI) tract (2%). Injury of endothelial cells was common in the lung (18%) and heart (4%). Hemodynamic changes such as necrosis due to hypoxia/hypoperfusion, edema and congestion were common in kidney (53%), liver (48%), CNS (31%) and GI tract (18%). SARS-CoV-2 viral particles were demonstrated within organ-specific cells in the trachea, lung, liver, large intestine, kidney, CNS either by electron microscopy, immunofluorescence, or immunohistochemistry. Additional tissues were positive by Polymerase Chain Reaction (PCR) tests only. The included studies were from numerous countries, some were not peer reviewed, and some studies were performed by subspecialists, resulting in variable and inconsistent reporting or over statement of the reported findings. CONCLUSIONS: The main pathologic findings of severe/fatal COVID-19 infection are DAD, changes related to coagulopathy and/or hemodynamic compromise. In addition, according to the observed organ damage myocarditis may be associated with sequelae.