ReviewSao Paulo medical journal = Revista paulista de medicina
Study of ongoing registered clinical trials on COVID-19: a narrative review.
Review in Sao Paulo medical journal = Revista paulista de medicina. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characteristics of published/registered clinical trials on COVID-19 treatment: A systematic review.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2021Pooled it
- Ethical issues and the role of the ethics committees during COVID-19 research in pandemic era: a focus on an Italian ethics committee.Frontiers in public health · 2025Article
- How the clinical research community responded to the COVID-19 pandemic: an analysis of the COVID-19 clinical studies in ClinicalTrials.gov.JAMIA open · 2021Article
- How the clinical research community responded to the COVID-19 pandemic: An analysis of the COVID-19 clinical studies in ClinicalTrials.gov.medRxiv : the preprint server for health sciences · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe dangerous SARS-CoV-2 virus first emerged in China in December 2019 and has rapidly spread worldwide. Currently, it has affected more than 2,850,000 people. No vaccine or drug is available yet, and therefore researchers and scientists are striving to identify potential drugs or vaccines for combating this virus. We were unable to find any review of the literature or analysis on ongoing registered clinical trials that reported diagnostic tests, therapeutics, vaccines and devices for COVID-19 along with estimated enrollment, participants' ages, study type, start and completion date, status, treatment/intervention and country.
objectiveTo review ongoing trials relating to COVID-19.
methodsA systematic search for clinical trials was conducted in the ClinicalTrials.gov database up to April 12, 2020. A total of 339 trials relating to COVID-19 were analyzed and key information on each trial was recorded.
resultsMost of the trials were being conducted in the United States and completion of most of them was expected by May 2020. They were mostly on drugs and treatment, while a minority were on diagnostic tests. The analysis showed that hydroxychloroquine was investigated in most of the trials. The trials identified were categorized into five classes: a) diagnostic tests; b) therapeutics; c) biologics and vaccines; d) devices and products; and e) others.
conclusionThe trials identified have potential against COVID-19 that can be applied in treatment processes after the necessary investigations and experiments. Additionally, the items identified were organized in a proper way, which can assist in current research activities.
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.