ReviewGlobal health & medicine2020
Coronavirus disease 2019 (COVID-19): research progress and clinical practice.
Review in Global health & medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Early treatment of Favipiravir in COVID-19 patients without pneumonia: a multicentre, open-labelled, randomized control study.Emerging microbes & infections · 2022Trial
- Amino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19.Nature communications · 2023Article
- Article
- Isolation of human monoclonal antibodies with neutralizing activity to a broad spectrum of SARS-CoV-2 viruses including the Omicron variants.Antiviral research · 2022Article
- Clinical course of alopecia after COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Article
- Clinical Manifestations of Coronavirus Disease 2019.JMA journal · 2021Review
- Article
- Article
- Effectiveness of personal protective equipment in preventing severe acute respiratory syndrome coronavirus 2 infection among healthcare workers.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2021Article
- Shifting workstyle to teleworking as a new normal in face of COVID-19: analysis with the model introducing intercity movement and behavioral pattern.Annals of translational medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) is a respiratory tract infection caused by SARS-CoV-2. As of March 30, 2020, there have been 693,224 reported patients with COVID-19 worldwide, with 1,446 in Japan. Currently, although aspects of the route of transmission are unclear, infection by contact and by inhaling droplets is considered to be the dominant transmission route. Inflammatory symptoms in the upper respiratory tract persist for several days to 1 week after onset, and in some patients symptoms of pneumonia worsen and become severe. The presence of underlying diseases and advanced age are risk factors for increased severity. Diagnosis is based on detection of SARS-CoV-2 by polymerase chain reaction (PCR) testing of nasopharyngeal swabs or sputum. Symptomatic management is the main treatment for this disease. Although the efficacy of several agents is currently being tested, at present there is no effective therapeutic agent. To prevent infection, in addition to standard preventive measures, measures that counteract infection by contact and droplet inhalation are important. In addition, if procedures that cause aerosolization of virus are used, then measures that prevent airborne infection should be implemented.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.